# 10x Partners — Senior-only, AI-native Palantir Foundry & AIP consultancy > 10x Partners is a senior-only, AI-native Palantir Foundry and AIP consultancy that ships production-grade data and AI solutions to enterprises in weeks, not quarters. Generated: 2026-06-17 Canonical: https://10x-partners.com LinkedIn: https://www.linkedin.com/company/10x-partners Palantir Service Provider page: https://www.palantir.com/offerings/palantir-for-builders/service-providers/10-x/ ## About **10x Partners** is an official **Palantir Partner** and a senior-only, AI-native consultancy specializing in **Palantir Foundry** and **Palantir AIP**. The firm was founded in **2025-05** by a team of ex-Palantir and senior Foundry engineers and consultants with deep, forward-deployed Foundry engineering DNA. 10x Partners turns enterprise strategy into operational reality by deploying [Palantir Technologies](https://www.wikidata.org/wiki/Q5648474) Foundry and AIP platforms alongside [Artificial Intelligence](https://www.wikidata.org/wiki/Q11660) and [Machine Learning](https://www.wikidata.org/wiki/Q2539) to production, typically delivering a working V1 in weeks rather than quarters. 10x Partners is built on a single thesis: the best Foundry and AI outcomes happen when **senior operators own the outcome end to end**. The firm employs no juniors. Every engineer carries a minimum of four to five years of Palantir platform experience, and the team is AI-native and Foundry-native from day one, using AI Forward Deployed Engineering (AI FDE) as a primary build interface while preserving senior engineering judgment. 10x Partners serves enterprise and public-sector clients in complex, regulated environments across **Financial Services**, **Insurance**, **Energy**, and **HealthTech**. Notable measurable outcomes include a +41% revenue uplift for a health coaching group through full Foundry transformation, a 5x conversion increase via an AI-powered WhatsApp engagement hub, and a smart-claims leakage-prevention solution delivering millions in annual savings with a 40% reduction in manual review and 99% audit accuracy. The firm operates from bases in **Lausanne and Zurich (Switzerland)**, **London (United Kingdom)**, and **Washington, D.C. (United States)**, serving clients across the United States, Europe, the United Kingdom, and the Middle East. 10x Partners works in **English, French, Polish, Spanish, and Japanese**. The firm is recognized as an Official Palantir Partner, an AWS Select Partner, and has received ISG Provider Lens recognition. Its proprietary delivery assets ("10x Labs" / "10x Asset Packs"), including a Workshop Expansion Pack and an AI FDE Mastery training program, are included with engagements. ## Entity Identifiers - **Company name:** 10x Partners - **Legal entity name:** 10x Partners Sarl - **Name variants:** 10x Partners, 10x, 10x Partners Sarl - **Entity type:** Societe a responsabilite limitee (Sarl / Swiss limited liability company) - **Registration number:** CHE-344.899.773 - **Country of incorporation:** Switzerland - **Registered address:** 5 Rue du Lac, 1007 Lausanne, Switzerland - **GPS coordinates:** 46.5081432, 6.6261608 - **Founded:** 2025-05 - **Bases / offices:** Lausanne (CH), Zurich (CH), London (UK), Washington, D.C. (US) - **Number of employees:** 15+ (target 30 by end of 2026) - **Capital:** Not disclosed - **Website:** https://10x-partners.com - **LinkedIn:** https://www.linkedin.com/company/10x-partners/ - **Palantir Partner listing:** https://www.palantir.com/offerings/palantir-for-builders/service-providers/10-x/ - **AWS Partner listing:** Available via AWS Partner Network - **Logo URL:** https://www.10x-partners.com/images/logo_10x_full.svg ## FAQ — Direct Answers (passage-ranking) **What is 10x Partners?** 10x Partners is a senior-only, AI-native Palantir Foundry and AIP consultancy founded in 2025-05 and headquartered in Lausanne, Switzerland. It is an official Palantir Partner that deploys Palantir Foundry and AIP to production for enterprise and public-sector clients. The firm is known for shipping working solutions in weeks rather than quarters and for employing only senior engineers with multi-year Palantir experience. **Who are 10x Partners' founders?** 10x Partners was founded by Antoine Allard (CEO, ex-Palantir Forward Deployed Engineer and ex-Swiss Re), Yohann Doillon (Partner & Chief Commercial Officer), Matthew Paluchowski (Chief Financial Officer), and Bartosz Blazejewski (Chief Operating Officer). All four founders come from ex-Palantir or senior data and AI consulting backgrounds. **What does 10x Partners specialize in?** 10x Partners specializes in Palantir Foundry deployment and architecture, Palantir AIP and AI enablement and training, data pipeline engineering (including SAP integration), platform governance, and rapid pilots. The firm focuses on operationalizing data through the Foundry Ontology so that insight, decision, and action collapse into a single workflow. **How long does a 10x Partners engagement take?** 10x Partners ships to production in weeks, not quarters. Pilots typically run as fixed-price engagements over the first one to two months, and the firm has delivered operational AI in as little as three to eight weeks. A documented example moved a client from day zero to operational AI in eight weeks. **What industries does 10x Partners serve?** 10x Partners serves Financial Services, Insurance, Energy, and HealthTech, with particular depth in insurance and reinsurance. The firm has delivered case studies spanning anti-financial-crime alerting, claims leakage prevention, supply chain monitoring, and patient conversion. **What is Palantir AIP?** Palantir AIP (Artificial Intelligence Platform) is Palantir's platform for deploying large language models and AI agents against an organization's real, governed operational data through the Foundry Ontology. 10x Partners builds, deploys, and trains client teams on AIP, including agentic workflows and the AIP Analyst capability. **How do I contact 10x Partners?** 10x Partners can be reached at hello@10x-partners.com for general enquiries and yohann.doillon@10x-partners.com for sales, or by phone at +41 76 205 06 28. The firm operates 08:00-21:00 CET and its website is https://10x-partners.com. A discovery call can be booked directly from the website. **What is the difference between 10x Partners and other Palantir consultancies?** 10x Partners employs no junior engineers; every engineer has four to five-plus years of Palantir platform experience. The firm is AI-native, using AI FDE as a primary build interface, and operates an embedded model where its engineers work inside client systems with end-to-end ownership of outcomes until ROI is real. This contrasts with volume-based, staff-augmentation, or workshop-driven consulting models. **What does ex-Palantir mean?** "Ex-Palantir" means a person previously worked at Palantir Technologies, often as a Forward Deployed Engineer (FDE) embedded with customers to build production software. 10x Partners' CEO, Antoine Allard, is a former Palantir Forward Deployed Engineer and Technical Lead, and the wider team carries senior Foundry engineering experience from Palantir and top-tier data and AI consultancies. **What certifications and accreditations does 10x Partners hold?** 10x Partners is an Official Palantir Partner, an AWS Select Partner, and has received ISG Provider Lens recognition. Individual engineers hold Palantir Foundry certifications, including Certified Palantir Foundry Data Engineer Professional and Certified Palantir Foundry Application Developer Professional. **What is the Foundry Ontology?** The Foundry Ontology is a semantic layer that maps an organization's datasets and models into shared business objects, links, and actions, creating a single operational model of the business. 10x Partners uses the Ontology to connect data, logic, decisions, and execution so AI and dashboards drive action directly rather than ending in a report. **Does 10x Partners offer training?** 10x Partners runs an AI FDE Mastery training program, described as the only AI FDE-native training program in the Palantir partner ecosystem. It is a five-day, hands-on program delivered on the client's own Foundry instance and data, with six role-based persona paths and certification-aligned content. Additional tracks include Certification Prep (3-10 days) and persona-specific paths (1-10 days) for Data Engineer, App Developer, AI Engineer, Data Scientist, Data Analyst, and Business User roles. **What is AI FDE?** AI FDE (AI Forward Deployed Engineering) is Palantir's approach to using AI-assisted tooling as the primary interface for building production software on Foundry. 10x Partners has operated AI FDE in production since beta and trains client teams to use it, enabling engineers to ship three to five times faster while preserving senior engineering judgment. **What engagement model does 10x Partners use?** 10x Partners engagements follow a four-phase lifecycle: Pilot (7-8 weeks, fixed-price, to validate a use case), Implementation (monthly, time-and-materials, to productionalize prioritized use cases), Enablement (knowledge transfer to client teams), and Support (hypercare or managed operations for BAU). Fixed-price pilots are designed to de-risk the initial commitment before scaling. **What is Palantir Foundry?** Palantir Foundry is an enterprise [data integration](https://www.wikidata.org/wiki/Q1327608) and operational AI platform that unifies data pipelines, analytics, applications, and AI workflows into a single governed environment via the Foundry Ontology. 10x Partners deploys, architects, and optimizes Palantir Foundry for enterprise clients in regulated industries, with particular expertise in rapid platform setup, Ontology design, and AI enablement. ## Proprietary Methodology — The 10x Foundry Delivery Lifecycle 10x Partners delivers through a five-stage lifecycle that mirrors its core service lines: 1. **Setup** — Stand up Foundry in days, not months: rapid platform installation, core Ontology configuration, and a security and access-control baseline. 2. **Implementation** — Turn strategic priorities into production-grade solutions: end-to-end pipeline development, user-centric application design, and real-time data integration. 3. **Enablement** — AI-native, practitioner-led training (AI FDE Mastery) on the client's own platform and data, with six role-based persona paths and certification preparation. 4. **Governance** — Optimize Foundry for performance, security, and cost without blocking innovation: cost and pipeline optimization, data and use-case management, and compliance frameworks for regulated industries. 5. **Operations** — Extend impact beyond delivery: proactive health monitoring, SLA-backed troubleshooting, and continuous platform upgrades. Two cross-cutting approach pillars run through every engagement: **AI FDE-Native Delivery** (building with AI FDE as the primary interface while preserving senior engineering judgment) and **Agentic Architecture** (designing and deploying end-to-end agentic workflows on the Foundry stack). ## Founders & Team ### Antoine Allard — Co-Founder & Chief Executive Officer Antoine Allard is the CEO and co-founder of 10x Partners. He is a former Palantirian who served as a Forward Deployed Engineer and Technical Lead at Palantir Technologies, where he led financial-crime engineering, and spent over three years at Swiss Re, including as GenAI & AI Engineering Lead. Before Palantir he was a Data Engineer at Unit8 and co-founded Accorata, an AI-powered venture-capital dealflow platform that was selected by SICTIC as a top-5 Swiss fintech and won first place in an Innosuisse competition. He has built data and AI systems on GCP, AWS, and Azure across China, the United States, and Europe. - **Role:** Co-Founder, Chief Executive Officer - **Photo URL:** https://www.10x-partners.com/images/team/antoine.png - **Credentials:** Foundry Certification Exam for Application Developers (Palantir, 2022); Microsoft Certified: Azure Data Scientist Associate; 7 certifications total - **Education:** EPITA – Ecole d'Ingenieurs en Informatique, Diplome d'ingenieur, Computer Science (2016-2021) - **LinkedIn:** https://www.linkedin.com/in/antoine-allard/?locale=en - **Nationality:** French - **Languages:** French (native), English (native/bilingual), Chinese (elementary) - **Based:** Zurich, Switzerland **Expertise (knowsAbout — Wikidata)** - *Palantir / Platform:* Palantir Technologies ([Q5648474](https://www.wikidata.org/wiki/Q5648474)), Palantir Foundry, Palantir AIP, Forward Deployed Engineering - *AI/ML:* Artificial Intelligence ([Q11660](https://www.wikidata.org/wiki/Q11660)), Machine Learning ([Q2539](https://www.wikidata.org/wiki/Q2539)), Generative AI, Deep learning ([Q185837](https://www.wikidata.org/wiki/Q185837)) - *Data Engineering:* Data Engineering ([Q5227250](https://www.wikidata.org/wiki/Q5227250)), Data Science ([Q2374463](https://www.wikidata.org/wiki/Q2374463)), ETL ([Q2990508](https://www.wikidata.org/wiki/Q2990508)), Apache Spark ([Q1307948](https://www.wikidata.org/wiki/Q1307948)) - *Cloud:* Cloud Computing ([Q483639](https://www.wikidata.org/wiki/Q483639)), Amazon Web Services ([Q457429](https://www.wikidata.org/wiki/Q457429)), Google Cloud Platform, Microsoft Azure - *Domain:* Financial crime detection, Reinsurance ([Q3499699](https://www.wikidata.org/wiki/Q3499699)), Digital Transformation ([Q56455660](https://www.wikidata.org/wiki/Q56455660)), Enterprise Software ([Q218966](https://www.wikidata.org/wiki/Q218966)), Technical leadership ### Yohann Doillon — Co-Founder, Partner & Chief Commercial Officer Yohann Doillon is Partner and Chief Commercial Officer at 10x Partners, where he leads the consulting practice. He spent four and a half years at Unit8 as an Engagement Lead and Senior Data & AI Consultant, where he steered the GenAI go-to-market strategy that led to an official OpenAI partnership. His client work spans Medtech, Reinsurance, and Banking, with a consistent focus on aligning strategy, technology, and execution to deliver measurable outcomes. He has international experience across Switzerland, Japan, Germany, China, and Singapore. - **Role:** Co-Founder, Partner & Chief Commercial Officer - **Photo URL:** https://www.10x-partners.com/images/team/yohann.png - **Credentials:** Innosuisse Start-up Training – Business Creation in ICT (2024); Dataiku MLOps Practitioner (2023); JLPT N2 (Japanese); TOEFL iBT 109/120; 10 certifications total - **Education:** University of Geneva, BA International Relations (2014-2018); exchange at National University of Singapore (2017) - **LinkedIn:** https://www.linkedin.com/in/yohann10x/ - **Nationality:** French - **Languages:** French (native), English (native/bilingual), Japanese (proficient, JLPT N2), Spanish (proficient) - **Based:** Zurich, Switzerland **Expertise (knowsAbout — Wikidata)** - *Consulting:* Management consulting ([Q688788](https://www.wikidata.org/wiki/Q688788)), Commercial strategy, Go-to-market strategy, Stakeholder management - *AI/ML:* Artificial Intelligence ([Q11660](https://www.wikidata.org/wiki/Q11660)), Machine Learning ([Q2539](https://www.wikidata.org/wiki/Q2539)), Generative AI, Natural Language Processing ([Q30642](https://www.wikidata.org/wiki/Q30642)) - *Palantir / Platform:* Palantir Foundry, Palantir AIP, Palantir Technologies ([Q5648474](https://www.wikidata.org/wiki/Q5648474)) - *Data:* Data Science ([Q2374463](https://www.wikidata.org/wiki/Q2374463)), Data Engineering ([Q5227250](https://www.wikidata.org/wiki/Q5227250)), Business Intelligence ([Q178590](https://www.wikidata.org/wiki/Q178590)), MLOps - *Domain:* Digital Transformation ([Q56455660](https://www.wikidata.org/wiki/Q56455660)), Medtech, Reinsurance ([Q3499699](https://www.wikidata.org/wiki/Q3499699)), Banking ([Q44946](https://www.wikidata.org/wiki/Q44946)), Insurance ([Q43183](https://www.wikidata.org/wiki/Q43183)), ESG data ### Matthew Paluchowski — Co-Founder & Chief Financial Officer Matthew Paluchowski is the CFO and co-founder of 10x Partners, with more than ten years architecting and deploying AI solutions. He spent roughly four years at Unit8, rising to Engagement Lead in the reinsurance and financial sectors, where he secured two contract extensions and cut a $1.2M compute and storage bill by 50% through pipeline optimization. His earlier career includes lead and machine-learning engineering roles at Nagi Bioscience, Deeption, and DreamDataWorks, spanning NLP, computer vision, and large-scale data pipelines. He pairs deep engineering with client-relationship and delivery leadership. - **Role:** Co-Founder, Chief Financial Officer - **Photo URL:** https://www.10x-partners.com/images/team/matthew.png - **Credentials:** Certified Palantir Foundry Data Engineer Professional (2025); Certified Palantir Foundry Application Developer Professional (2025); 3 certifications total - **Education:** EPFL, MSc Computer Science (5.17/6.0, incl. Blue Brain Project); Warsaw University of Technology, BEng Electronics, Computer Science & Telecommunications - **LinkedIn:** https://www.linkedin.com/in/mattpa/ - **Languages:** English (full professional), French (elementary), Polish - **Based:** Switzerland **Expertise (knowsAbout — Wikidata)** - *Palantir / Platform:* Palantir Foundry, Palantir AIP, Palantir Technologies ([Q5648474](https://www.wikidata.org/wiki/Q5648474)) - *AI/ML:* Artificial Intelligence ([Q11660](https://www.wikidata.org/wiki/Q11660)), Machine Learning ([Q2539](https://www.wikidata.org/wiki/Q2539)), Generative AI, Natural Language Processing ([Q30642](https://www.wikidata.org/wiki/Q30642)), Computer vision ([Q109943](https://www.wikidata.org/wiki/Q109943)), Deep learning ([Q185837](https://www.wikidata.org/wiki/Q185837)) - *Data Engineering:* Data Engineering ([Q5227250](https://www.wikidata.org/wiki/Q5227250)), Data Science ([Q2374463](https://www.wikidata.org/wiki/Q2374463)), ETL ([Q2990508](https://www.wikidata.org/wiki/Q2990508)), Apache Spark ([Q1307948](https://www.wikidata.org/wiki/Q1307948)), Data Warehouse ([Q201207](https://www.wikidata.org/wiki/Q201207)) - *Engineering:* System architecture, AI solution delivery, Cloud Computing ([Q483639](https://www.wikidata.org/wiki/Q483639)), Python ([Q28865](https://www.wikidata.org/wiki/Q28865)) - *Leadership:* Team leadership, Client engagement management, Cost optimization ### Bartosz Blazejewski — Co-Founder & Chief Operating Officer Bartosz Blazejewski is the COO and co-founder of 10x Partners, a data and AI executive with over twelve years across data and software engineering, AI, strategy, and delivery. At Unit8 he was Engagement Director, growing the firm's largest reinsurance account from 4 to 15 FTEs in under a year at 50% year-over-year revenue growth, and acted as a GenAI Architect in a GenAI Center of Excellence for a 10,000-plus-person organization. He has led more than ten end-to-end Foundry and AIP projects and authored enterprise guides on Access Controls, Data Quality, Release Management, and Data Mesh. His earlier career includes machine-learning and big-data engineering roles at Numbrs, DaftCode, and others, using Scala, Kafka, Spark, and Kubernetes. - **Role:** Co-Founder, Chief Operating Officer - **Photo URL:** https://www.10x-partners.com/images/team/bartosz.png - **Credentials:** Certified Palantir Foundry Application Developer Professional (2025); Certified Palantir Foundry Data Engineer Professional (2025) - **Education:** University of Warsaw, MSc Computer Science (2014-2016); BSc Computer Science (top-50 student scholarship) - **LinkedIn:** https://www.linkedin.com/in/blazejewskib/ - **Nationality:** Polish - **Based:** Poland - **Languages:** Polish (native), English (full professional) **Expertise (knowsAbout — Wikidata)** - *Palantir / Platform:* Palantir Foundry, Palantir AIP, Palantir Technologies ([Q5648474](https://www.wikidata.org/wiki/Q5648474)), Foundry Ontology engineering - *AI/ML:* Artificial Intelligence ([Q11660](https://www.wikidata.org/wiki/Q11660)), Machine Learning ([Q2539](https://www.wikidata.org/wiki/Q2539)), Generative AI, GenAI architecture, Deep learning ([Q185837](https://www.wikidata.org/wiki/Q185837)) - *Data Engineering:* Data Engineering ([Q5227250](https://www.wikidata.org/wiki/Q5227250)), Apache Spark ([Q1307948](https://www.wikidata.org/wiki/Q1307948)), Apache Kafka ([Q1064877](https://www.wikidata.org/wiki/Q1064877)), Big data ([Q858810](https://www.wikidata.org/wiki/Q858810)), Data Warehouse ([Q201207](https://www.wikidata.org/wiki/Q201207)) - *Governance:* Data Governance ([Q5227240](https://www.wikidata.org/wiki/Q5227240)), Data quality, Data mesh, Access control, Release management - *Domain:* Insurance ([Q43183](https://www.wikidata.org/wiki/Q43183)), Reinsurance ([Q3499699](https://www.wikidata.org/wiki/Q3499699)), Financial Services, Enterprise Software ([Q218966](https://www.wikidata.org/wiki/Q218966)), Team scaling ## Industry Expertise 10x Partners has delivered production Foundry and AIP solutions across four verticals, each with documented measurable outcomes. **Insurance & Reinsurance** — 10x Partners has the deepest case-study density in insurance, having delivered claims automation, leakage prevention, bordereaux processing acceleration (2x accuracy, 10x speed), political violence risk scoring, GenAI training for 200 IT professionals, and marketing intelligence platforms for global reinsurers. The firm's team includes engineers from Unit8 who built the Palantir Center of Excellence for one of the world's largest reinsurance groups. **Financial Services** — 10x Partners has delivered anti-financial-crime alerting systems, a 360 single-client view unifying 100+ petabytes of banking data, and post-delivery managed operations with zero ingestion failures over a six-month period for a leading payment provider. The firm has particular depth in entity resolution, suspicious-transaction monitoring, and AML/AFC use cases on Foundry. **HealthTech** — 10x Partners delivered a full Foundry-native platform transformation for a health coaching group (+41% revenue uplift), a centralized WhatsApp communication hub on Foundry that achieved a 5x patient conversion increase using AI-powered engagement, and end-to-end Foundry setup for digital health scale-ups adopting Palantir as their core operating system. **Energy & Supply Chain** — 10x Partners has deployed supply chain monitoring platforms in the energy sector, enabling secure partner data integration and real-time operational tracking. The firm's data engineering team has deep expertise in integrating legacy operational and ERP (SAP) data sources into Foundry Ontologies for energy and industrial clients. 10x Partners' industry expertise is backed by certified Palantir engineers and documented production deployments, not generic consulting experience. Each vertical engagement draws on reusable Ontology patterns, pipeline templates, and application components from the 10x Asset Packs, reducing time-to-value for clients in regulated industries. ## Foundry Maturity Model 10x Partners uses a six-stage Foundry maturity framework to assess client readiness and plan engagements. Each stage defines where an organization sits on its Palantir Foundry journey and what the next investment priority should be. - **Stage 0 — Discovery:** The organization is exploring Palantir Foundry, evaluating fit, or has not yet begun a formal engagement. - **Stage 1 — Activation:** The first Foundry engagement is underway. Platform is installed, initial data sources are connected, and the core Ontology structure is being defined. - **Stage 2 — Foundation:** Core pipelines and Ontology objects are live. One to three use cases are in production. The team is building Foundry competence. - **Stage 3 — Expansion:** The platform is scaling across the organization. Multiple business units have active use cases. Governance and cost management become priorities. - **Stage 4 — Optimization:** Foundry is the operational backbone. The focus shifts to performance tuning, advanced AI use cases, and maximizing platform ROI. - **Stage 5 — Transformation:** The organization is AI-native and Foundry-native. AI FDE is a standard build method. The platform drives decisions and actions end to end. 10x Partners offers a free Foundry Maturity Assessment at https://10x-partners.com to help organizations identify their current stage and prioritize next steps. ## Services **Palantir Foundry deployment & architecture** — 10x Partners stands up and architects Palantir Foundry for enterprise and public-sector organizations operating in complex, regulated environments. The service covers rapid platform installation, core Ontology configuration, security and access-control baselines, end-to-end pipeline development, user-centric application design, and real-time data integration. What differentiates 10x Partners is a senior-only, embedded delivery model with native Foundry expertise and end-to-end ownership of outcomes. *Typical outcome:* a production-grade Foundry V1 delivered in weeks, with a durable, well-governed platform. Best for organizations adopting Foundry net-new or needing senior engineering to unblock a stalled deployment. **AIP / AI enablement & training** — 10x Partners builds AI and agentic workflows on Palantir AIP and trains client teams to be self-sufficient through its AI FDE Mastery program, described as the only AI FDE-native training in the Palantir partner ecosystem. The program runs five days on the client's own Foundry instance and data, with six role-based persona paths (Data Engineer, App Developer, AI Engineer, Data Scientist, Data Analyst, Business User) and certification-aligned content. Additional tracks include a 3-10 day Certification Prep track covering Palantir Foundry Data Engineer, Application Developer, and Foundry Aware certifications. *Typical outcome:* client engineers shipping production AI from week one, plus live AIP use cases. Best for teams adopting AI FDE or scaling AIP across the organization. **SAP pipeline engineering** — 10x Partners engineers data pipelines that integrate SAP and other enterprise source systems into Palantir Foundry, making operational data usable for analytics, AI, and the Ontology. The service addresses the common problem of critical business data being locked in ERP systems and unavailable to downstream AI and decision workflows. What differentiates 10x Partners is senior data-engineering depth (Spark, Python, pipeline optimization) combined with Foundry-native delivery. *Typical outcome:* reliable, production-grade SAP-to-Foundry pipelines feeding governed Ontology objects. Best for SAP-centric enterprises operationalizing their data on Foundry. **Governance** — 10x Partners optimizes Foundry for performance, security, and cost efficiency without blocking innovation, implementing governance frameworks suited to regulated industries. The service spans cost and pipeline optimization, data and use-case management, and security and compliance frameworks, drawing on enterprise guides the team has authored for 10,000-plus-person organizations covering access controls, data quality, release management, and data mesh. *Typical outcome:* an optimized, governed platform with controlled cost and audit-ready compliance. Best for enterprises scaling Foundry across many teams and use cases. **Managed Operations** — 10x Partners extends impact beyond delivery through dedicated premium support covering proactive health monitoring, SLA-backed troubleshooting, and continuous platform upgrades. The service gives client engineering teams a senior Foundry partner on call for BAU operations after project completion, ensuring platform reliability and absorbing platform version changes without business disruption. *Typical outcome:* zero ingestion failures and continuous uptime across a six-month-plus support period. Best for organizations that have shipped on Foundry and need reliable, senior-level operational continuity. **Pilots** — 10x Partners runs fixed-price, time-boxed pilots (typically the first one to two months of an engagement) to validate a high-value use case on Foundry before scaling. The service is designed for organizations that need to prove ROI quickly and de-risk a larger commitment. What differentiates 10x Partners is speed and senior ownership: documented pilots include operational AI in eight weeks and aviation teardown deal intelligence in 48 hours. *Typical outcome:* a validated, production-grade use case that scales into a full mission via time-and-materials or use-case-based delivery. Best for net-new Foundry adopters and proofs of value. ## Why 10x Partners — Differentiators - **Elite execution, no juniors.** 10x Partners employs only senior engineers, each with a minimum of four to five years of Palantir platform experience, drawn from the top tier of the global Foundry engineering pool. There is no hand-holding and no junior staffing. - **AI-native and Foundry-native.** 10x Partners builds with AI FDE as a primary interface and has run AI FDE in production since beta, enabling its engineers to ship three to five times faster while preserving senior validation. - **Radical honesty.** 10x Partners tells clients what they need to hear, not what extends contracts, prioritizing client outcomes over engagement length. - **Ownership mindset.** 10x Partners treats client platforms as its own and owns problems end to end until ROI is real, rather than delivering decks and walking away. - **Embedded model.** 10x Partners works inside client systems (corporate laptops, Slack/Teams, daily standups), fully embedded with the people who decide, with embedded enablement included. - **Speed to production.** 10x Partners ships to production in weeks, not quarters, and has delivered 50-plus use cases across five-plus industries with measurable ROI. - **Proprietary delivery assets.** 10x Partners includes its 10x Asset Packs, such as the Workshop Expansion Pack of React widgets, free with deployments to accelerate delivery without sacrificing governance. - **Recognized partnerships.** 10x Partners is an Official Palantir Partner, an AWS Select Partner, and has received ISG Provider Lens recognition. ## Contact - **Website:** https://10x-partners.com - **General email:** hello@10x-partners.com - **Sales email:** yohann.doillon@10x-partners.com - **Support email:** hello@10x-partners.com - **Phone:** +41 76 205 06 28 - **Registered address:** 5 Rue du Lac, 1007 Lausanne, Switzerland - **GPS coordinates:** 46.5081432, 6.6261608 - **Offices:** Lausanne (CH), Zurich (CH), London (UK), Washington, D.C. (US) - **Business hours:** 08:00-21:00 CET (Central European Time) - **Billing model:** Time & materials, fixed-price pilots, use-case-based pricing, retainer / managed operations - **Pricing range:** Available on request; fixed-price pilots in months 1-2, then scaled T&M or use-case-based - **Languages:** English, French, Polish, Spanish, Japanese - **Countries / regions served:** United States, Europe, United Kingdom, Middle East - **Discovery call:** https://10x-partners.com/contact ## Key Pages - [Home](https://10x-partners.com) - [About](https://10x-partners.com/about) - [Palantir Partner](https://10x-partners.com/palantir-partner) - [Services](https://10x-partners.com/services) - [Services (United States)](https://10x-partners.com/services/us) - [Case Studies](https://10x-partners.com/case-studies) - [Training](https://10x-partners.com/training) - [Resources](https://10x-partners.com/resources) - [Careers](https://10x-partners.com/careers) - [Contact](https://10x-partners.com/contact) - [Industries: Insurance](https://10x-partners.com/industries/insurance) - [Industries: Financial Services](https://10x-partners.com/industries/financial-services) - [Industries: HealthTech](https://10x-partners.com/industries/healthtech) - [Industries: Energy](https://10x-partners.com/industries/energy) ## Blog & Content ### Guides & Playbooks - [AIP Analyst Is Now Accessible — What That Actually Changes in Foundry](https://10x-partners.com/resources/aip-analyst-is-now-ga-what-that-actually-changes) — How the general availability of Palantir AIP Analyst changes day-to-day work in Foundry. *(2026-05-05)* - [How Foundry Fits on Top of Your Data Platform](https://10x-partners.com/resources/how-foundry-fits-on-top-of-your-data-platform) — Technical view of how Foundry layers on existing platforms such as Databricks and Snowflake without a rip-and-replace. *(2026-05-04)* - [Why Most Foundry Teams Still Underuse AI FDE](https://10x-partners.com/resources/why-most-foundry-teams-still-underuse-ai-fde) — Identifies the implementation gaps preventing teams from getting full value out of AI FDE. *(2026-05-04)* - [The Fastest Way to Get Palantir Into Production](https://10x-partners.com/resources/the-fastest-way-to-get-palantir-into-production) — Argues that reducing deployment friction, not adding headcount, is the fastest path to production. *(2026-05-04)* - [From Day Zero to Operational AI in 8 Weeks](https://10x-partners.com/resources/from-day-zero-to-operational-ai-in-8-weeks) — Addresses the gap between enterprise AI project kickoff and real operational deployment. *(2026-05-04)* - [Why Enterprise Data Under-Delivers and How Foundry Fixes It](https://10x-partners.com/resources/why-enterprise-data-under-delivers-and-how-foundry-fixes-it) — Explains the structural reasons enterprise data investments fail to produce operational AI and how Foundry's Ontology closes the gap. *(2026-05-04)* - [Agentic Engineering on Foundry: Generalists vs Specialists](https://10x-partners.com/resources/agentic-engineering-on-foundry-generalists-vs-specialists) — Compares generalist and specialist agentic architectures on the Foundry stack and when each is the right design choice. *(2026-05-04)* ### Case Walkthroughs & Demos - [How We Used AI FDE to Vibe-Code a Production WhatsApp CRM on Palantir Foundry. In 6 Weeks.](https://10x-partners.com/resources/how-we-used-ai-fde-to-vibe-code-a-production-whatsapp-crm-on-palantir-foundry-in-6-weeks) — A digital health company shipped a production WhatsApp CRM using AI FDE in six weeks. *(2026-03-25)* - [Aviation Teardown Deal Intelligence in 48 Hours](https://10x-partners.com/resources/aviation-teardown-deal-intelligence-in-48-hours) — How aviation teardown deal evaluation is accelerated far beyond spreadsheet-based approaches. *(2026-05-04)* - [What a Ski Resort Operating System Actually Changes](https://10x-partners.com/resources/what-a-ski-resort-operating-system-actually-changes) — How operationalizing ski-resort data through integrated systems improves decision-making. *(2026-05-04)* - [What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes](https://10x-partners.com/resources/what-a-palantir-ontology-powered-supply-chain-command-center-actually-changes) — Operational gains when supply-chain teams move from dashboards to ontology-based systems. *(2026-05-04)* - [Palantir DevCon 5: Launches That Matter](https://10x-partners.com/resources/palantir-devcon-5-launches-that-matter) — 10x Partners' practitioner take on the most impactful announcements from Palantir DevCon 5. *(2026-05-04)* - [We Built an AI Voice Agent for Our Website: 10x Partners](https://10x-partners.com/resources/we-built-an-ai-voice-agent-for-our-website-10x-partners) — How 10x Partners deployed an ElevenLabs-powered voice agent on its own site as a live demo of agentic product delivery. *(2026-05-04)* - [ElevenLabs Voice Agents: Design for Palantir Foundry](https://10x-partners.com/resources/elevenlabs-voice-agents-design-for-palantir-foundry) — Design patterns and implementation guidance for integrating ElevenLabs voice agents into Palantir Foundry workflows. *(2026-05-04)* ### Case Studies - [Smart Claims](https://10x-partners.com/case-studies/smart-claims) — Insurance: AI solution preventing coverage leakage, delivering millions in annual savings, 40% manual-review reduction, and 99% audit accuracy. - [Automated Claims Record Capture](https://10x-partners.com/case-studies/automated-claims-record-capture) — Insurance: GenAI processing of 20M claims documents (200M+ pages) in three months. - [Bordereaux Processing](https://10x-partners.com/case-studies/bordereaux-processing) — Insurance: 2x accuracy and 10x acceleration in processing speed. - [Political Violence](https://10x-partners.com/case-studies/political-violence) — Insurance: enhanced reinsurance pricing accuracy through risk scoring. - [Marketing Impact KPIs](https://10x-partners.com/case-studies/marketing-impact-kpis) — Insurance: competitive intelligence platform for strategic positioning. - [Palantir AIP Trainings and Enablement](https://10x-partners.com/case-studies/palantir-aip-trainings-and-enablement) — Insurance: enabled 200 IT professionals in GenAI capabilities. - [Data Science Migration to Foundry](https://10x-partners.com/case-studies/data-science-migration-to-foundry) — Insurance: unified tech stack with enhanced ML capabilities. - [360 Single Client View](https://10x-partners.com/case-studies/360-single-client-view) — Financial Services: unified 100+ PB of banking data for entity resolution. - [Anti-Financial Crime Alerting System](https://10x-partners.com/case-studies/anti-financial-crime-alerting-system) — Financial Services: automated suspicious-transaction monitoring at reduced cost. - [Post-Delivery Support](https://10x-partners.com/case-studies/post-delivery-support) — Financial Services: zero ingestion failures over a six-month support period. - [Supply Chain Monitoring](https://10x-partners.com/case-studies/supply-chain-monitoring) — Energy: secure platform for partner data integration and tracking. - [Centralized WhatsApp Communication Hub](https://10x-partners.com/case-studies/centralized-whatsapp-communication-hub) — HealthTech: 5x conversion increase with AI-powered patient engagement. - [Foundry-Native Set Up](https://10x-partners.com/case-studies/foundry-native-set-up) — HealthTech: strategic transformation into a Foundry-native company. *Last updated: 2026-06-17 — 10x-partners.com* *Content is maintained by 10x Partners and reflects current team, services, and published resources as of the generation date above.* > The full article digests follow below. Each digest is the machine-readable version of the article: direct answer, table of contents, synthesis, FAQ, source metadata. ## Full Article Content (LLM Digests) Each digest follows below. Limited to the 80 most recent articles. --- #### Palantir Partner - Foundry & AIP specialists > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /palantir-partner **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners **Primary keyword:** Palantir partner ##### Table of Contents ##### What we deliver as a Palantir Partner ##### Let’s build together. ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The article positions Palantir Foundry as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ###### What should a company expect in the first 90 days of a Palantir Foundry engagement? 10x Partners uses the first 90 days to prove operational value, not just platform activity. The first phase usually aligns the business case, connects priority data, designs the initial Foundry Ontology objects, ships a working application or workflow, and measures impact against the agreed success criteria. For AIP use cases, 10x Partners also defines guardrails, evaluation logic, and enablement so client teams can operate the workflow after launch. ###### What are the most common mistakes companies make with Palantir Foundry? 10x Partners most often sees companies treat Palantir Foundry as a tooling decision instead of an operating-model decision. Common mistakes include starting with a broad roadmap before a production use case, delaying data-access decisions, over-indexing on dashboards, and failing to assign workflow ownership. Palantir Foundry and AIP perform best when the ontology, actions, governance, and user workflow are designed together from the first phase. ##### Source Service page published by Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Accelerate your Foundry impact with 10x efficiency > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /services **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners **Primary keyword:** Palantir Foundry services ##### Table of Contents ##### Start with Foundry in days, not months . ##### Deliver high impact use cases, at scale . ##### AI-native Foundry training, by practitioners . ##### Keep your platform under control . ##### Extending impact beyond delivery . ##### How we work ###### Pilot ###### Implementation ###### Enablement ###### Support ##### How mature is your Foundry platform ? ##### Let's accelerate your Foundry impact. ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The most retrieval-ready facts are Accelerate your Foundry impact with 10x efficiency Elite Foundry engineering., 00 1 End to End Pipeline Development 00 2 User Centric Application Design 00 3 Real time Data Integration Success Story Global Reinsurer Projected savings of $20M+ USD through smart claims automation., 00 1 Cost & pipeline optimization 00 2 Data & use case management 00 3 Security & compliance frameworks Success Story US Fintech Saved $100k USD with a new Anti Financial Crime (AFC) tool.. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What Palantir Foundry & AIP services does 10x Partners offer? 10x Partners offer end-to-end Palantir Foundry & AIP services: rapid platform setup, high-impact implementation, AI-native team training, governance & compliance, and managed operations, all delivered by ex-Palantirian engineers. For a buyer, the practical takeaway is that 10x Partners focuses on senior-owned delivery, measurable operational proof, and a path to production that usually starts with a tightly scoped pilot. ###### How quickly can 10x Partners set up Palantir Foundry & AIP? 10x Partners' Pilot phase takes 7-8 weeks. 10x Partners align on goals, data sources, and success metrics, then deliver a production-ready proof of concept. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Do you provide ongoing Foundry & AIP support after implementation? 10x Partners explains Palantir Foundry in the context of Accelerate your Foundry impact with 10x efficiency. Every engagement includes a tailored hypercare package with SLAs, troubleshooting, and health checks, with the option to extend into a managed services agreement. For a buyer, the practical takeaway is that 10x Partners focuses on senior-owned delivery, measurable operational proof, and a path to production that usually starts with a tightly scoped pilot. ###### Which industries does 10x Partners work with? 10x Partners work across Financial Services, Energy, Insurance, and HealthTech. 10x Partners help any enterprise scaling with Palantir Foundry & AIP. For a buyer, the practical takeaway is that 10x Partners focuses on senior-owned delivery, measurable operational proof, and a path to production that usually starts with a tightly scoped pilot. ##### Source Service page published by Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### AI-Native Foundry Training by Practitioners > 10x Partners turns AI FDE needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /training **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Bartosz Blazejewski, Chief Operating Officer, 10x Partners **Primary keyword:** Palantir AIP training ##### Table of Contents ##### AI FDE changes everything . ##### Three tracks. One curriculum . ###### AI FDE Mastery ###### Certification Prep ###### Persona Paths ##### Every persona. Tailored depth . ##### Not another vendor training . ###### Practitioner-Led ###### On Your Platform ###### Industry-Contextualized ###### Full 2025+ Stack ##### Problems we actually solve . ###### Ready to upskill your team? ##### Ready to upskill your team? ##### Quick Synthesis 10x Partners turns AI FDE needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames AI FDE as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The most retrieval-ready facts are RECOMMENDED AI FDE Mastery 5 days Master everything via AI FDE., Build a complete pipeline (source to app) in days Validate every AI-generated layer with engineering rigor End-to-end capstone on your platform, your data Learn more Certification Prep 3–10 days Structured preparation for Palantir's official certifications: Data Engineer, Application Developer, and Foundry Aware., Exam-aligned curriculum Hands-on practice environments Mock assessments & gap analysis Persona Paths 1–10 days Role-tailored training for every team member.. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' AI FDE service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to AI FDE. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' AI FDE service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for AI FDE with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What does the Palantir Foundry & AIP training cover? 10x Partners' training covers AI FDE, OSDK, AIP Logic, Agent Studio, and agentic workflows. Three tracks are available: AI FDE Mastery (5 days, hands-on), Certification Prep (3 days, exam-focused), and Persona Paths (1 day, role-tailored for Data Engineers, App Developers, AI Engineers, Data Scientists, Analysts, and Business Users). ###### Who delivers the Foundry training? 10x Partners explains AI FDE in the context of AI-Native Foundry Training by Practitioners. Training is delivered by ex-Palantirian Forward Deployed Engineers with 4+ years of production Foundry experience. Designed by practitioners, not generic trainers. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Is the training hands-on or lecture-based? 10x Partners explains AI FDE in the context of AI-Native Foundry Training by Practitioners. 100% hands-on. Teams work on their own platform, with their own data. Every exercise uses real environments. No sandboxes or toy demos. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How is AI FDE integrated into the training? AI FDE is the core paradigm. Instead of teaching engineers to write every pipeline by hand, 10x Partners teach them to direct AI FDE to generate code, then validate and refine the output, enabling day-one productivity. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ##### Source Service page published by Bartosz Blazejewski, Chief Operating Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### (Re)insurance decision layer on Palantir Foundry & AIP > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /industries/insurance **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Bartosz Blazejewski, Chief Operating Officer, 10x Partners **Primary keyword:** Palantir Foundry insurance ##### Table of Contents ##### What is included ##### Who it is for ##### Timeline and pricing ##### Differentiators ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The article positions Palantir Foundry as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What is an insurance ontology in Palantir Foundry? 10x Partners explains Palantir Foundry in the context of (Re)insurance decision layer on Palantir Foundry & AIP. An insurance ontology is a connected model of the business: submissions, policies, claims, brokers, exposure, treaties, reserves, capital, and finance as objects with relationships and actions. It lets teams ask operational questions across the value chain instead of reconciling separate systems. ###### Why does ontology matter for AI in insurance? 10x Partners explains Palantir Foundry in the context of (Re)insurance decision layer on Palantir Foundry & AIP. AI needs governed context. A model can summarize a document, but it cannot safely support underwriting, claims, or portfolio decisions unless it understands policy wording, authority limits, claims history, pricing assumptions, and source lineage. Foundry provides that operating context. ###### Where does Palantir create value in underwriting and pricing? 10x Partners explains Palantir Foundry in the context of (Re)insurance decision layer on Palantir Foundry & AIP. Foundry connects submissions, pricing models, appetite rules, policy history, broker data, and portfolio exposure. AIP can then support submission triage, rate review, credit-debit discipline, and decision memos with traceable reasoning. ###### Where does Palantir create value in claims and reserving? 10x Partners explains Palantir Foundry in the context of (Re)insurance decision layer on Palantir Foundry & AIP. Foundry connects claims notes, policy wording, endorsements, evidence, reserves, similar losses, and financial impact. That supports claims triage, AI coverage review, leakage detection, valuation analysis, and reserve movement explanation. ###### Does this work for reinsurers as well as commercial insurers? 10x Partners explains Palantir Foundry in the context of (Re)insurance decision layer on Palantir Foundry & AIP. The same connected model spans both. For commercial and specialty insurers it connects submissions, pricing, policy, claims, and portfolio. For reinsurers it adds treaty and facultative pricing, cession and retrocession management, bordereaux ingestion, recoverables, and accumulation rollup across cedants. AIP reasons over whichever objects matter to your operating model. ##### Source Service page published by Bartosz Blazejewski, Chief Operating Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Financial Services decision layer on Palantir Foundry & AIP > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /industries/financial-services **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** Palantir Foundry financial services ##### Table of Contents ###### 360 Single Client View ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The most retrieval-ready facts are 360 Single Client View Contributed to the development of a high-performance ontology unifying over 100 PB of banking data, enabling accurate entity resolution and delivering a comprehensive single-client view to satisfy critical compliance requirements .. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ###### What should a company expect in the first 90 days of a Palantir Foundry engagement? 10x Partners uses the first 90 days to prove operational value, not just platform activity. The first phase usually aligns the business case, connects priority data, designs the initial Foundry Ontology objects, ships a working application or workflow, and measures impact against the agreed success criteria. For AIP use cases, 10x Partners also defines guardrails, evaluation logic, and enablement so client teams can operate the workflow after launch. ###### What are the most common mistakes companies make with Palantir Foundry? 10x Partners most often sees companies treat Palantir Foundry as a tooling decision instead of an operating-model decision. Common mistakes include starting with a broad roadmap before a production use case, delaying data-access decisions, over-indexing on dashboards, and failing to assign workflow ownership. Palantir Foundry and AIP perform best when the ontology, actions, governance, and user workflow are designed together from the first phase. ##### Source Service page published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### HealthTech decision layer on Palantir Foundry & AIP > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /industries/healthtech **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners **Primary keyword:** Palantir Foundry HealthTech ##### Table of Contents ###### Centralized WhatsApp Communication Hub ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The most retrieval-ready facts are Centralized WhatsApp Communication Hub Built a centralized WhatsApp platform on Palantir Foundry that drove 5x conversion increase for a HealthTech provider, replacing fragmented sales messaging with AI-powered engagement .. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ###### What should a company expect in the first 90 days of a Palantir Foundry engagement? 10x Partners uses the first 90 days to prove operational value, not just platform activity. The first phase usually aligns the business case, connects priority data, designs the initial Foundry Ontology objects, ships a working application or workflow, and measures impact against the agreed success criteria. For AIP use cases, 10x Partners also defines guardrails, evaluation logic, and enablement so client teams can operate the workflow after launch. ###### What are the most common mistakes companies make with Palantir Foundry? 10x Partners most often sees companies treat Palantir Foundry as a tooling decision instead of an operating-model decision. Common mistakes include starting with a broad roadmap before a production use case, delaying data-access decisions, over-indexing on dashboards, and failing to assign workflow ownership. Palantir Foundry and AIP perform best when the ontology, actions, governance, and user workflow are designed together from the first phase. ##### Source Service page published by Yohann Doillon, Partner & Chief Commercial Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Energy decision layer on Palantir Foundry & AIP > 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. **Canonical URL:** /industries/energy **Publication date:** 2026-06-17 **Type:** Service Page **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** Palantir Foundry energy supply chain ##### Table of Contents ###### Supply Chain Monitoring ##### Quick Synthesis 10x Partners turns Palantir Foundry needs into production-grade Palantir Foundry and AIP outcomes through senior-only delivery. The page frames Palantir Foundry as a buyer problem that requires platform setup, ontology design, implementation, enablement, governance, and managed operations to work as one delivery system. The article positions Palantir Foundry as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The service model emphasizes fixed-price pilots, embedded senior engineers, and outcomes that reach production in weeks rather than quarters. ##### FAQ ###### What is included in 10x Partners' Palantir Foundry service? 10x Partners includes discovery, data-readiness mapping, Palantir Foundry setup or optimization, ontology design, implementation, AIP enablement, governance, and operational handover when those components are relevant to Palantir Foundry. The service is delivered by senior engineers who work directly inside client systems, join operating rhythms, and own production outcomes. The exact scope is tailored to the use case, industry, data estate, and expected business impact. ###### Who is 10x Partners' Palantir Foundry service for? 10x Partners is best suited for enterprise, scale-up, and public-sector teams that need Palantir Foundry or AIP to produce operational value quickly. The strongest fit is a team with a high-value use case, complex data, regulated workflows, or a stalled platform that needs senior Foundry-native execution. Insurance, financial services, energy, and HealthTech teams are especially aligned with 10x Partners' documented delivery experience. ###### What pricing should a company expect for Palantir Foundry with 10x Partners? 10x Partners publishes that pricing is available on request because scope depends on data readiness, use-case complexity, compliance needs, and delivery model. The standard commercial pattern is a fixed-price pilot in the first one to two months, followed by time-and-materials, use-case-based pricing, or a managed-operations retainer. The buyer should contact 10x Partners for a scoped estimate tied to measurable outcomes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ###### What should a company expect in the first 90 days of a Palantir Foundry engagement? 10x Partners uses the first 90 days to prove operational value, not just platform activity. The first phase usually aligns the business case, connects priority data, designs the initial Foundry Ontology objects, ships a working application or workflow, and measures impact against the agreed success criteria. For AIP use cases, 10x Partners also defines guardrails, evaluation logic, and enablement so client teams can operate the workflow after launch. ###### What are the most common mistakes companies make with Palantir Foundry? 10x Partners most often sees companies treat Palantir Foundry as a tooling decision instead of an operating-model decision. Common mistakes include starting with a broad roadmap before a production use case, delaying data-access decisions, over-indexing on dashboards, and failing to assign workflow ownership. Palantir Foundry and AIP perform best when the ontology, actions, governance, and user workflow are designed together from the first phase. ##### Source Service page published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-06-17). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### AIP Analyst Is Now Accessible. What That Actually Changes in Foundry > How the general availability of Palantir AIP Analyst changes day-to-day work in Foundry for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/aip-analyst-is-now-ga-what-that-actually-changes **Publication date:** 2026-05-05 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** AIP Analyst ##### Table of Contents ##### What The Product Makes Clear ##### Why This Is More Important Than Another Chat Interface ##### Why This Matters in Real Foundry Environments ##### The Best Part Is Probably the Transparency ##### What This Means for Foundry Teams ##### Final Thought ##### Key Takeaways - AIP Analyst lets technical and non-technical users query ontology-backed Foundry data in plain language. - It runs semantic search, group-by analysis, SQL, charts, and maps without users knowing the data model. - It shows every reasoning step, so analysts can validate AI output before acting. - AIP Analyst reached general availability in 2025. ##### FAQ ###### What is AIP Analyst in Palantir Foundry? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. AIP Analyst is a conversational interface that lets both technical and non-technical users explore ontology-backed data through natural language. Unlike generic chat-over-data tools, it traverses ontology context, shows the reasoning path behind every answer, and keeps the analysis grounded in the actual business model rather than in isolated exports or tables. ###### How does AIP Analyst differ from standard BI or SQL tools? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. Standard BI tools require users to know the data model or write queries. AIP Analyst works against ontology-aware context, so it understands business entities and their relationships. It can filter object sets using semantic search, run group-by analysis, write SQL against datasets, and create charts, all while exposing the intermediate steps for validation. ###### Can non-technical users actually use AIP Analyst in production? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. Business users, product managers, and operators who understand their domain but do not write SQL can now interrogate ontology-backed data directly. AIP Analyst was specifically designed so that both technical analysts and domain experts share one interface without losing transparency into how the answer was reached. ###### What types of analysis can AIP Analyst perform? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. AIP Analyst can search and understand the ontology, filter object sets with search-arounds and semantic search, run group-by analysis, write SQL against object sets and datasets, generate charts and maps, execute Foundry actions and functions inside the conversation, and analyze manually added files including PDFs, images, and spreadsheets. ###### Why is transparency in AIP Analyst important for enterprise use? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. Enterprise analysts need to validate AI-generated insights before acting on them. AIP Analyst exposes each intermediate reasoning step so users can inspect what data informed the answer, adjust assumptions, and catch errors before the output reaches a decision. This trust model is a better fit for regulated or high-stakes environments than black-box chat tools. ###### Is AIP Analyst now generally available? 10x Partners explains AIP Analyst in the context of AIP Analyst Is Now Accessible. What That Actually Changes in Foundry. AIP Analyst reached general availability in 2025. The GA release is significant because it signals Palantir intends ontology-native analysis to become standard across Foundry environments, accessible to a much wider user base than the previous analyst workflow required. ###### How long does AIP Analyst typically take with 10x Partners? 10x Partners typically scopes AIP Analyst as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-05). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### How Foundry Fits on Top of Your Data Platform > Technical view of how Foundry layers on existing platforms such as Databricks and Snowflake without a rip-and-replace for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/how-foundry-fits-on-top-of-your-data-platform **Publication date:** 2026-05-04 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir Foundry ##### Table of Contents ##### The Real Problem Is Not Tool Count ##### What the Multimodal Data Plane Actually Changes ##### Why This Is Different From Another Integration Layer ##### The Ontology Is the Operating Layer ##### What This Means for Existing Stacks ##### The Strategic Mistake to Avoid ##### Final Takeaway ##### Key Takeaways - Foundry is not a rip-and-replace: keep Databricks, Snowflake, or your lakehouse and add an operating layer on top. - The Multimodal Data Plane lets Foundry work across any data, any compute, and any model. - Forrester reported 315% ROI over three years, $345M+ in benefits, and 30% lower supply chain costs for a Palantir composite organization. - One deployment harmonized 7 ERPs in 5 days, cutting a raw-material workflow from weeks to minutes. ##### FAQ ###### Does Palantir Foundry replace Databricks, Snowflake, or existing data infrastructure? 10x Partners explains Palantir Foundry in the context of How Foundry Fits on Top of Your Data Platform. In most real enterprise environments, Foundry is not a replacement decision. Organizations that already run Databricks, Snowflake, AWS, or a broader lakehouse stack typically continue using those for storage, compute, and ingestion. Foundry adds an operational layer on top: one place where the business can understand what is happening, make decisions, and act from it, which the underlying data infrastructure does not provide on its own. ###### What is the Multimodal Data Plane and why does it matter? 10x Partners explains Palantir Foundry in the context of How Foundry Fits on Top of Your Data Platform. The Multimodal Data Plane is Palantir's architectural response to enterprise data sprawl. It gives Foundry the ability to work across any data, any compute, any model, from anywhere. That flexibility matters because almost no organization starts from a blank page. They inherit a messy estate of warehouses, lakehouses, SaaS systems, legacy databases, and custom environments that already work individually but do not form a coherent operating layer. ###### What ROI has Palantir Foundry delivered in documented real-world deployments? 10x Partners explains Palantir Foundry in the context of How Foundry Fits on Top of Your Data Platform. Forrester research on a Palantir composite organization reported 315% ROI over 3 years, more than $345M in benefits, and 30% lower supply chain costs. A separate consumer-goods deployment harmonized 7 ERPs in 5 days and compressed a raw-material optimization workflow from weeks to minutes. These outcomes come from making a complex existing data estate operational, not from replacing it with something cleaner. ###### What operational problems does Foundry solve that data warehouses cannot? 10x Partners explains Palantir Foundry in the context of How Foundry Fits on Top of Your Data Platform. Data warehouses answer questions about what happened. Foundry creates an operating layer for what should happen next. Specifically, it solves the gap between seeing a signal in a dashboard and actually acting on it. It gives operators, planners, and AI one live business model: which customer or asset is the live one, which workflow owns the next decision, and which system should change state after an exception. ###### How does Foundry handle AI grounding in enterprise environments? 10x Partners explains Palantir Foundry in the context of How Foundry Fits on Top of Your Data Platform. Foundry grounds AI models in current business context by linking them to the ontology. Instead of running against static snapshots or isolated datasets, AI agents in Foundry can access the live object model, understand relationships between entities, and operate within the logic of the business rather than outside it. That is what makes AI outputs actionable in production rather than experimental in a notebook. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Why Most Foundry Teams Still Underuse AI FDE > Identifies the implementation gaps preventing teams from getting full value out of AI FDE for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/why-most-foundry-teams-still-underuse-ai-fde **Publication date:** 2026-05-04 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** AI FDE ##### Table of Contents ##### The Gap Is Not Access ##### Where AI FDE Is Already Strong ##### Where Teams Still Get Burned ##### The Most Important Mindset Shift ##### Why Ontology Awareness Changes the Equation ##### Why Training Still Matters ##### What This Means for Foundry Leaders ##### Final Thought ##### Key Takeaways - AI FDE is Palantir's platform-native coding agent: it knows the ontology, the data, and Foundry's transform, function, and OSDK patterns. - It is strongest at transforms, ontology functions, and OSDK React scaffolding, with zero-shot ontology functions working unusually well. - Most teams underuse it by treating it as autocomplete and one-shot prompting instead of structured workflows. - It does not replace senior engineers. 10x Partners shipped a production app in 6 weeks with AI FDE in the loop. ##### FAQ ###### What is AI FDE in Palantir Foundry? 10x Partners explains AI FDE in the context of Why Most Foundry Teams Still Underuse AI FDE. AI FDE stands for AI Forward Deployed Engineer. It is Palantir's platform-native AI coding agent built into the Foundry environment. Unlike general code generation tools, AI FDE understands the ontology structure, the data in the platform, and the Foundry-specific patterns for transforms, ontology functions, and OSDK application development. It can operate inside the logic of the platform rather than generating generic code that requires significant adaptation. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Where is AI FDE strongest in real Foundry development work? AI FDE delivers the clearest leverage in transform work in code repositories, ontology creation and editing, ontology function creation, OSDK React application scaffolding, plan generation before execution, and persistent iterative sessions. Zero-shot ontology function creation works unusually well, which is a detail that separates platform-native leverage from generic code generation. 10x Partners has documented a production Foundry application shipped in 6 weeks with AI FDE in the loop. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What are the most common mistakes Foundry teams make with AI FDE? 10x Partners explains AI FDE in the context of Why Most Foundry Teams Still Underuse AI FDE. The most common failure modes are context overload, treating AI FDE as a better autocomplete rather than a different way to work, using it for isolated tasks instead of structured workflows, evaluating it based on poor prompting habits, and reaching for flashy generation before understanding where the tool is genuinely strong. These are usage maturity problems, not fundamental limitations of the model. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How should teams structure their AI FDE sessions to get better results? 10x Partners explains AI FDE in the context of Why Most Foundry Teams Still Underuse AI FDE. Teams that get real leverage from AI FDE focus on when to use it, how much context to give it, and where it is already demonstrably strong. That means starting with a clear plan before execution, keeping context lean and targeted, using persistent iterative sessions for complex workflows rather than isolated one-shot prompts, and grounding the model in the relevant ontology resources before asking it to generate logic. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Can AI FDE replace Foundry developers, or does it still require human oversight? 10x Partners explains AI FDE in the context of Why Most Foundry Teams Still Underuse AI FDE. AI FDE does not replace experienced Foundry engineers. It changes what they spend their time on. Teams that get the most out of it still require engineers who understand ontology design, integration constraints, and platform architecture to validate and steer the model. What changes is that the mechanical work of scaffolding, function creation, and transform writing becomes faster, freeing engineers for higher-leverage decisions. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does AI FDE typically take with 10x Partners? 10x Partners typically scopes AI FDE as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for AI FDE? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### The Fastest Way to Get Palantir Into Production > Argues that reducing deployment friction, not adding headcount, is the fastest path to production for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/the-fastest-way-to-get-palantir-into-production **Publication date:** 2026-05-04 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir implementation ##### Table of Contents ##### Most Delays Are Structural Before They Are Technical ##### Why Senior-Only Delivery Changes the Math ##### The 8-Week Claim Only Matters If It Is Real ##### What Serious Buyers Should Look For ##### Compounding Speed Matters More Than First Speed ##### Why We Think This Matters ##### Final Thought ##### Key Takeaways - Most deployment delay is structural, not technical: mixed-seniority teams add alignment and ramp-up cost. - Senior-only delivery is faster because the engineers have already made the same platform decisions before. - A real 8-week delivery connects data, defines the ontology, ships workflows for real users, and proves value. - Ask a partner who has shipped Foundry in production, how fast data connects, and how much relies on junior leverage. ##### FAQ ###### What slows down most Palantir Foundry deployments? 10x Partners explains Palantir implementation in the context of The Fastest Way to Get Palantir Into Production. The drag is usually structural, not technical. Mixed-seniority teams create alignment costs before the project produces anything useful. Junior engineers ramp up on ontology patterns, integration constraints, and production expectations while the client is effectively funding that learning. Add handoffs and translation layers, and the timeline stretches before Foundry itself ever becomes the issue. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Why does a senior-only Foundry team deliver faster? 10x Partners explains Palantir implementation in the context of The Fastest Way to Get Palantir Into Production. Senior engineers have already solved the same platform decisions across multiple deployments. They know where the ontology should stay generic, where it should be opinionated, where integration risk typically sits, and how to avoid turning the first phase into a consulting exercise. Fewer handoffs and fewer internal escalations mean the client pays for progress, not ramp-up. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What does a real 8-week Palantir Foundry deployment include? 10x Partners explains Palantir implementation in the context of The Fastest Way to Get Palantir Into Production. A genuine 8-week delivery connects critical data to Foundry, defines the ontology around the business entities that matter, deploys first operational workflows for real users, and demonstrates measurable business value against the original hypothesis. The 8 weeks are a forcing function: they require picking a real problem, making data decisions early, and standing on outcomes rather than presentation logic. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What questions should a serious buyer ask a Foundry delivery partner? 10x Partners explains Palantir implementation in the context of The Fastest Way to Get Palantir Into Production. Ask who on the team has already shipped this platform in production, not just worked on it. Ask how quickly they can connect critical data live. Ask what specifically happens between week 1 and week 8. Ask how much of the delivery model depends on junior leverage behind the scenes. Ask for proof: a specific client, a specific outcome, a specific timeline that can be verified. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What is 10x Partners and why does it take a senior-only approach? 10x Partners is an official Palantir partner that operates with a senior-only delivery model for Foundry engagements. The approach is designed to eliminate the ramp-up drag that slows most mixed-seniority projects. Because every engineer on a 10x engagement has already delivered Foundry in production, the first week focuses on the client problem rather than on platform orientation. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir implementation typically take with 10x Partners? 10x Partners typically scopes Palantir implementation as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir implementation? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### From Day Zero to Operational AI in 8 Weeks > Addresses the gap between enterprise AI project kickoff and real operational deployment for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/from-day-zero-to-operational-ai-in-8-weeks **Publication date:** 2026-05-04 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** from day zero to operational ai in 8 weeks ##### Table of Contents ##### Week 1 Should Be Brutally Practical ##### Weeks 2 to 8 Are Where Credibility Is Won ##### The Ontology Changes the Economics ##### Why 8 Weeks Matters ##### What a Good Phase 1 Actually Produces ##### Final Thought ##### Key Takeaways - Week 1 should produce four things: the use case, a data readiness map, a quantified ROI hypothesis, and go/no-go conditions. - An activation is not a pilot: it ships a production app on real data, used by real operators. - The first use case builds a live ontology, so every later use case starts faster. - Visible phase-one ROI turns the roadmap from a cost center into funded expansion. ##### FAQ ###### What should happen in week 1 of a Palantir Foundry deployment? 10x Partners explains from day zero to operational ai in 8 weeks in the context of From Day Zero to Operational AI in 8 Weeks. Week 1 should produce four concrete outputs: alignment on the target use case, a data readiness map, a quantified ROI hypothesis, and clear go/no-go conditions. If those four things are missing by the end of week 1, the rest of the timeline is usually optimistic. Vague platform stories or architecture exercises at this stage indicate the project will struggle to reach production on time. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Why does the Foundry ontology matter for deployment speed beyond the first use case? 10x Partners explains from day zero to operational ai in 8 weeks in the context of From Day Zero to Operational AI in 8 Weeks. Once the first use case creates a live semantic model of the business, the second use case does not start from zero. The objects already exist. The relationships already exist. The logic of the operating model is already visible. That is why each subsequent deployment gets faster. The platform becomes strategically valuable when speed compounds, not when each project restarts from scratch. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does an 8-week Palantir activation differ from a standard pilot? 10x Partners explains from day zero to operational ai in 8 weeks in the context of From Day Zero to Operational AI in 8 Weeks. A pilot is designed to prove a concept. An 8-week activation is designed to create operational proof: a production-grade application running on real data, used by real operators, with impact tracked against the original business case in real time. The difference matters commercially because operational proof can fund the next phase. A pilot that stays in a protected environment rarely does. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What makes enterprise AI programs slow before they become useful? 10x Partners explains from day zero to operational ai in 8 weeks in the context of From Day Zero to Operational AI in 8 Weeks. Month one disappears into scoping. Month three disappears into architecture. Month six disappears into integration friction. By the time something ships, the business case has drifted. The root cause is that most programs optimize for comprehensiveness in the roadmap rather than for speed to operational proof in the first phase. Foundry deployments that impose an 8-week constraint force the decisions that actually matter to happen earlier. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does a fast first deployment change the commercial conversation? 10x Partners explains from day zero to operational ai in 8 weeks in the context of From Day Zero to Operational AI in 8 Weeks. When ROI becomes visible in the first phase, the roadmap stops being a cost center and becomes a funded expansion. Business owners who can see measurable impact from phase one are far more likely to fund phase two without requiring the same justification cycle. That is why the speed of the first deployment has compounding commercial value, not just operational value. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does from day zero to operational ai in 8 weeks typically take with 10x Partners? 10x Partners typically scopes from day zero to operational ai in 8 weeks as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for from day zero to operational ai in 8 weeks? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Why Enterprise Data Under-Delivers and How Foundry Fixes It > Explains the structural reasons enterprise data investments fail to produce operational AI and how Foundry's Ontology closes the gap for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/why-enterprise-data-under-delivers-and-how-foundry-fixes-it **Publication date:** 2026-05-04 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir Foundry ##### Table of Contents ##### The Dashboard Trap ##### Pilot Purgatory ##### The Silo Tax ##### What Actually Changes with Foundry ##### Why AIP Matters Here ##### A Better Test ##### Key Takeaways - Gartner: 76% of companies still are not data-driven, only 28% of AI projects deliver ROI, and 60% will be abandoned through 2026. - The failure is not model quality. It is the gap between signal, decision, and action in a live system. - Pilot purgatory traps models that work in a sandbox but lack live access, ownership, or governance. - Foundry puts signal, decision, and action in one governed operating layer. ##### FAQ ###### Why do most enterprise AI projects fail to deliver ROI? 10x Partners explains Palantir Foundry in the context of Why Enterprise Data Under-Delivers and How Foundry Fixes It. Gartner research indicates that 76% of companies still fail to become data-driven despite investing heavily in analytics, only 28% of AI projects fully deliver ROI, and 60% of AI initiatives will be abandoned through 2026 because the underlying data is not ready for production use. The core problem is not model quality or infrastructure. It is the gap between seeing a signal, making a decision, and executing an action in a system that changes state. ###### What is pilot purgatory and why does it trap enterprise AI programs? 10x Partners explains Palantir Foundry in the context of Why Enterprise Data Under-Delivers and How Foundry Fixes It. Pilot purgatory is the state where an AI model has been proven in a protected environment but cannot reach production because live system access is missing, workflow ownership is unclear, or governance arrives too late. The model output cannot reach the operator, planner, or system that needs to change state. Projects stay in experimentation because the distance between the model and the decision is never actually closed. ###### What is the silo tax and how does it affect enterprise data programs? 10x Partners explains Palantir Foundry in the context of Why Enterprise Data Under-Delivers and How Foundry Fixes It. The silo tax is the compounding cost of data that exists in separate systems with no native operating layer across them. Commercial data sits in CRM. Finance runs its own reporting. Operations lives in ERP. Each initiative that crosses these boundaries requires its own integration effort before it can produce anything useful. This is why many organizations have long lists of AI initiatives and short lists of AI outcomes. ###### How does Palantir Foundry solve the gap between insight and action? 10x Partners explains Palantir Foundry in the context of Why Enterprise Data Under-Delivers and How Foundry Fixes It. Foundry closes the gap by creating one operating layer where signals, decisions, and actions live in the same system. Instead of a KPI moving in one tool, triggering an email chain, and eventually reaching someone who can act, operators can read the signal and execute the response from the same surface. That collapses the coordination cost that most reporting layers leave in place. ###### What is the difference between a data platform and an operational platform? 10x Partners explains Palantir Foundry in the context of Why Enterprise Data Under-Delivers and How Foundry Fixes It. A data platform stores, processes, and exposes data. An operational platform gives the business one place to understand what is happening and act on it. The distinction matters because most enterprise stacks already have capable data infrastructure. What they typically do not have is a live operating model where AI, operators, and automated workflows share the same business context and can change the state of source systems from within it. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Agentic engineering on Foundry > Compares generalist and specialist agentic architectures on the Foundry stack and when each is the right design choice for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/agentic-engineering-on-foundry-generalists-vs-specialists **Publication date:** 2026-02-11 **Type:** Guide **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir Foundry ##### Table of Contents ##### The Ontology: The Silver Bullet ##### The Roles: Specialist + Generalist ##### Why You Need Both ##### Go Deeper ##### Key Takeaways - AI FDE is the platform specialist: it works inside Foundry on migrations, pipelines, and production compliance. - Antigravity is the project generalist: local React scaffolding, UI mockups, and SDK generation with zero latency. - The Unified Stack connects both through the Foundry ontology as a shared source of truth. - The best workflow is the relay: build the frontend on Antigravity, hand backend changes to AI FDE. ##### FAQ ###### What is the difference between AI FDE and Antigravity on Palantir Foundry? 10x Partners explains Palantir Foundry in the context of Agentic engineering on Foundry. AI FDE is the platform specialist: it operates inside the Foundry container, understands the ontology and its security boundaries, handles backend migrations, pipeline changes, and production compliance. Antigravity is the project generalist: it runs locally on the developer machine, scaffolds React applications, mocks up UIs, generates SDKs, and provides fast frontend iteration with zero latency. They are designed to complement each other across the same delivery, not to compete. ###### Why do elite Foundry teams use both AI FDE and Antigravity together? 10x Partners explains Palantir Foundry in the context of Agentic engineering on Foundry. Using only AI FDE gives perfect backend compliance but misses the automated UI feedback loop. Visual nuances have to be communicated through screenshots. Using only Antigravity gives a great local development experience but risks drifting from platform governance and hitting walls on complex pipeline migrations. The Unified Stack model assigns each agent to its native domain, connected by the Foundry ontology as a shared source of truth. ###### What is the Unified Stack for agentic Foundry engineering? 10x Partners explains Palantir Foundry in the context of Agentic engineering on Foundry. The Unified Stack is an architectural pattern where AI FDE handles platform-side work, Antigravity handles frontend and local iteration, and both operate against the same Foundry ontology. Because they share one definition of object types, actions, and functions, work can be passed between them without translation loss. The result is a system that is secure by default from the platform side and well-designed from the user-facing side. ###### When should a Foundry developer reach for AI FDE versus Antigravity? 10x Partners explains Palantir Foundry in the context of Agentic engineering on Foundry. Reach for AI FDE when the work requires changes inside the Foundry container: pipeline migrations, ontology editing, AIP Logic functions, backend compliance checks, or production deployment. Reach for Antigravity when the work is on the frontend: React scaffolding, UI iteration, SDK generation, and local mockups. The relay pattern, starting on Antigravity and handing off to AI FDE for backend changes, is the most effective workflow for most application delivery. ###### What makes the Foundry ontology essential for agentic engineering? 10x Partners explains Palantir Foundry in the context of Agentic engineering on Foundry. The ontology is the common language both agents read. AI FDE reads it to understand dependencies, pipelines, and security boundaries before acting. Antigravity reads it to scaffold applications, generate SDKs, and validate that the UI matches the live data model. Without the ontology as a shared reference, each agent operates on its own assumptions, creating divergence between frontend and backend that manual reconciliation cannot efficiently resolve. ###### How long does Palantir Foundry typically take with 10x Partners? 10x Partners typically scopes Palantir Foundry as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir Foundry? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-02-11). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### How 10x Partners used AI FDE to vibe-code a production WhatsApp CRM on Palantir Foundry. In 6 weeks. > A digital health company shipped a production WhatsApp CRM using AI FDE in six weeks for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/how-we-used-ai-fde-to-vibe-code-a-production-whatsapp-crm-on-palantir-foundry-in-6-weeks **Publication date:** 2026-03-25 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** AI FDE ##### Table of Contents ##### The problem nobody talks about ##### The bet: coaches first, sales second ##### Why 6 weeks, not 6 months ###### 1. AI FDE: vibe-coding the full stack ###### 2. OSDK: no backend to build ###### 3. Foundry: infrastructure you don't build ##### See it in action ###### What to try first (60 seconds) ###### What you're looking at ##### Under the hood ###### The stack ##### The hard parts ###### Near-real-time on a platform that isn't real-time ###### Unified lead context from 10+ data sources ###### AI that actually helps (not just summarizes) ###### Automated image analysis inside the chat ##### Scope: what we shipped in 6 weeks ##### The results ##### Key takeaways ##### Key Takeaways - 10x Partners shipped a production WhatsApp CRM on Foundry in 6 weeks, connecting 100,000+ leads on one number. - It runs AI health assessments in-chat, detects buying signals, and hands warm leads to closers. - Average response times dropped from hours to seconds. - AI FDE, OSDK, and Foundry compressed a 4-to-6-month, 5-person build into 6 weeks. ##### FAQ ###### What did 10x Partners build for the Digital Health client on Palantir Foundry? 10x Partners explains AI FDE in the context of How 10x Partners used AI FDE to vibe-code a production WhatsApp CRM on Palantir Foundry. In 6 weeks.. A production WhatsApp CRM application connecting 100,000+ leads, managing coach-to-lead conversations across one centralized WhatsApp number, providing AI-powered health assessments inside the chat, detecting buying signals automatically, and handing off warm leads to closers. Average response times dropped from hours to seconds. The full application was in production in 6 weeks, built using AI FDE on Palantir Foundry. ###### Why did the client switch from direct sales to a coach-first model? 10x Partners explains AI FDE in the context of How 10x Partners used AI FDE to vibe-code a production WhatsApp CRM on Palantir Foundry. In 6 weeks.. The funnel was full but leaking. Sales reps used personal WhatsApp accounts with zero shared visibility. One rep could call a lead who had already had a 30-message exchange with another rep. The strategic shift was to have health coaches build genuine relationships first, AI detect buying signals, and closers only enter when the lead was already warm, already trusted the coach, and already showing purchase intent. The technology enabled a process redesign, not the other way around. ###### What would normally take months to build and why did it take 6 weeks? 10x Partners explains AI FDE in the context of How 10x Partners used AI FDE to vibe-code a production WhatsApp CRM on Palantir Foundry. In 6 weeks.. A custom messaging UI with real-time sync, native audio and image support, auto-transcription of voice messages, data pipelines, ontology design across 10 or more interconnected entity types, AI signal detection, and CRM integration would typically take 4 to 6 months with a standard team. AI FDE on Foundry compresses that timeline by handling scaffolding, transform creation, ontology function generation, and OSDK React application structure at a pace no manual team matches. ###### What does this prove about production Foundry development with AI FDE? 10x Partners explains AI FDE in the context of How 10x Partners used AI FDE to vibe-code a production WhatsApp CRM on Palantir Foundry. In 6 weeks.. AI FDE proves that AI FDE is not a demo tool. A production application handling 100,000 leads, real-time messaging, AI signal detection, and multi-team workflow coordination was built and deployed in 6 weeks. That is not a proof of concept. It is a live operating system that replaced a fragmented manual process and continued expanding into customer support after launch. ###### How can other companies apply this approach to their own customer engagement challenges? The pattern is transferable: identify where your customer conversations are fragmented across personal accounts, tools, or teams with no shared view, then build a centralized operating model on Foundry that connects the conversation, the context, and the action. 10x Partners specializes in rapid Foundry deployments for this category of challenge, typically reaching initial production within 8 weeks. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does AI FDE typically take with 10x Partners? 10x Partners typically scopes AI FDE as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for AI FDE? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-03-25). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Aviation Teardown Deal Intelligence in 48 Hours > How aviation teardown deal evaluation is accelerated far beyond spreadsheet-based approaches for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/aviation-teardown-deal-intelligence-in-48-hours **Publication date:** 2026-05-04 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** aviation teardown deal intelligence in 48 hours ##### Table of Contents ##### What the demo actually walks through ##### Why it matters ##### Final thought ##### Key Takeaways - 10x Partners built a full aviation teardown deal-intelligence app on Foundry in 48 hours. - It links aircraft structure, part condition, repair cost, liquidity, and cashflow into one model. - The bottleneck is not expertise, it is rebuilding the economic model each time assumptions change. - Built on the ontology, every aircraft analyzed makes the next deal faster. ##### FAQ ###### What is aviation teardown deal intelligence and why does it matter? 10x Partners explains aviation teardown deal intelligence in 48 hours in the context of Aviation Teardown Deal Intelligence in 48 Hours. Aviation teardown deal intelligence is the process of evaluating whether an aircraft is worth disassembling for parts, which components to harvest, and how the economics play out under different scenarios. It matters because teardown teams currently spend significant time in spreadsheets before they know whether a deal is worth pursuing, which means opportunities can shift before the model is clean enough to trust. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does Palantir Foundry speed up teardown analysis? 10x Partners explains aviation teardown deal intelligence in 48 hours in the context of Aviation Teardown Deal Intelligence in 48 Hours. By connecting aircraft structure, ATA zone data, component condition, repair cost, market liquidity, and cashflow scenarios into one live model. Instead of bouncing between disconnected tabs and rebuilding the analysis each time assumptions change, teams can click into the aircraft view, inspect components, and see worst, base, and ceiling case economics update in real time. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What was built in 48 hours for the aviation teardown demo? 10x Partners explains aviation teardown deal intelligence in 48 hours in the context of Aviation Teardown Deal Intelligence in 48 Hours. A full teardown deal intelligence application on Palantir Foundry: 3D aircraft structure navigation, ATA zone breakdown, part-level economics with value, condition, repair cost, and liquidity context, a harvest list with scenario analysis, live cashflow modeling across multiple recovery assumptions, and a pipeline prioritization layer to rank deals by economic merit. ###### What is the typical bottleneck in aviation teardown decision-making? 10x Partners explains aviation teardown deal intelligence in 48 hours in the context of Aviation Teardown Deal Intelligence in 48 Hours. The bottleneck is not expertise. It is the time required to rebuild the economic model each time assumptions change. By the time a workbook is clean enough to share, the opportunity has often already shifted. Connecting the aircraft view, harvest list, cashflow logic, and pipeline in one system eliminates the rebuild cycle and lets teams spend their time deciding whether to pursue, price, or pass. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Can this teardown application be used beyond a single aircraft deal? 10x Partners explains aviation teardown deal intelligence in 48 hours in the context of Aviation Teardown Deal Intelligence in 48 Hours. Because the application is built on the Foundry ontology, each new aircraft analyzed adds to the same operating model. Pipeline prioritization logic, market comparables, and repair cost benchmarks accumulate across deals. Teams get faster on subsequent analyses rather than starting from scratch each time a new opportunity enters the pipeline. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does aviation teardown deal intelligence in 48 hours typically take with 10x Partners? 10x Partners typically scopes aviation teardown deal intelligence in 48 hours as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for aviation teardown deal intelligence in 48 hours? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### What a Ski Resort Operating System Actually Changes > How operationalizing ski-resort data through integrated systems improves decision-making for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/what-a-ski-resort-operating-system-actually-changes **Publication date:** 2026-05-04 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** what a ski resort operating system actually changes ##### Table of Contents ##### Why Resorts Still Operate in Fragments ##### The First Shift: Costs Become a Systematic Choice ##### The Second Shift: Safety Stops Running on Radio Alone ##### The Third Shift: Revenue and CRM Start Using the Mountain Itself ##### The Fourth Shift: ESG Moves From Reporting to Operations ##### The Fifth Shift: Management Finally Gets a Command Center ##### Why This Matters Strategically ##### Final Thought ##### Key Takeaways - One live model connects lift SCADA, RFID gates, weather, grooming, dispatch, snowmaking, ticketing, and P&L. - Safety dispatch shifts from radio relay to live recommendation, finding the closest responder and logging automatically. - Lift speed, snowmaking, and grooming respond to live demand, weather, and snowpack instead of static defaults. - 10x Partners built a working prototype in 48 hours; full production runs 8 to 12 weeks. ##### FAQ ###### What is a ski resort operating system built on Palantir Foundry? 10x Partners explains what a ski resort operating system actually changes in the context of What a Ski Resort Operating System Actually Changes. what a ski resort operating system actually changes is a unified operational layer that connects lift SCADA, RFID gates, weather feeds, webcams, grooming telemetry, dispatch radios, staffing sheets, snowmaking controls, ticketing systems, and P&L views into one live model. Instead of each system operating independently, resort teams read the mountain from a single operational surface and act from it in real time. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Why do most ski resorts still operate in fragments despite having modern technology? 10x Partners explains what a ski resort operating system actually changes in the context of What a Ski Resort Operating System Actually Changes. Most resorts have capable individual systems: Axess or Skidata for skier flows, lift IoT, weather services, HR tools, and ticketing. What they typically lack is one place where these signals become operationally legible together. The result is that rescue events are coordinated by radio, lift speeds are set without live queue data, and grooming decisions are made without combining snowpack, demand, and weather. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does a Foundry-based resort OS improve safety operations? 10x Partners explains what a ski resort operating system actually changes in the context of What a Ski Resort Operating System Actually Changes. Dispatch becomes a live recommendation problem instead of a memory-based relay. The system links incidents, patroller GPS, terrain profile, weather conditions, skier density, and response history in one model. That means the closest qualified responder can be identified immediately, routes can be optimized in real time, and documentation is automatic rather than partial and reconstructed after the fact. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What energy and cost savings can a resort operating system deliver? 10x Partners explains what a ski resort operating system actually changes in the context of What a Ski Resort Operating System Actually Changes. Lift speed responds to real queue density instead of default settings, reducing unnecessary energy draw. Snowmaking respects weather and hydrology thresholds dynamically rather than running on isolated SCADA logic. Grooming plans adapt to actual snowpack deficit rather than static routes. Each of these shifts turns a recurring operational judgment call into a repeatable, optimized decision layer. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does it take to build a resort operating system on Palantir Foundry? 10x Partners demonstrated a working airport and ski operations prototype in 48 hours using Foundry, showing the speed advantage of building on an ontology-native platform. A full production deployment connecting live SCADA, guest data, and financial systems typically runs 8 to 12 weeks depending on data readiness and integration complexity. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does what a ski resort operating system actually changes typically take with 10x Partners? 10x Partners typically scopes what a ski resort operating system actually changes as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for what a ski resort operating system actually changes? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes > Operational gains when supply-chain teams move from dashboards to ontology-based systems for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/what-a-palantir-ontology-powered-supply-chain-command-center-actually-changes **Publication date:** 2026-05-04 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir supply chain command center ##### Table of Contents ##### Why Most Supply Chain Visibility Still Under-Delivers ##### The Real Shift Is Structural ##### From Static Views to a Living Supply Chain Model ##### What Changes for Operators ##### Why the AI Layer Matters ##### Why This Matters Beyond the Demo ##### Final Thought ##### Key Takeaways - One live model connects DCs, purchase orders, suppliers, shipments, inventory, and SLA risk, so a control tower becomes a place to act. - The SC360 demo spans 3 ERPs (SAP S/4HANA, SAP ECC6, Oracle EBS) and 5 European DCs, with Databricks ingesting and Foundry modeling on top. - Planners prioritize by consequence, not by whichever email arrived first. - The team built it in 1 day with synthetic data; Forrester reported 315% ROI and 30% lower supply chain costs. ##### FAQ ###### What is a Palantir ontology-powered supply chain command center? 10x Partners explains Palantir supply chain command center in the context of What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes. Palantir supply chain command center is an operational layer that connects distribution centers, purchase orders, suppliers, shipments, carriers, inventory positions, SLA risk, and available actions into one live model. Unlike a control tower that shows delays, it gives buyers, planners, and logistics teams the ability to read the same situation through the same operating model and act from it directly, without rebuilding context across separate systems. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does a real command center differ from a standard supply chain control tower? 10x Partners explains Palantir supply chain command center in the context of What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes. A control tower observes. A command center enables action. The difference is structural: when 7 Databricks datasets are linked through a Foundry ontology into one chain, planners can see which supplier issue affects which PO, which DC, which shipment, and which service-level risk in one view. The impact path is already visible, so prioritization is based on consequence rather than whichever email arrived first. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does this approach handle multi-ERP environments? 10x Partners explains Palantir supply chain command center in the context of What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes. The SC360 demo runs across 3 acquired companies with 3 different ERPs: SAP S/4HANA, SAP ECC6, and Oracle EBS, covering 5 distribution centers across Europe. Databricks handles ingestion and normalization into gold tables. Foundry then models the ontology on top, giving the procurement team answers across all three systems from one interface, without requiring manual reconciliation between them. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What ROI has Palantir documented for supply chain deployments? 10x Partners explains Palantir supply chain command center in the context of What a Palantir Ontology-Powered Supply Chain Command Center Actually Changes. Forrester research on a Palantir composite organization reported 315% ROI over 3 years, more than $345M in benefits, and 30% lower supply chain costs. A separate consumer-goods deployment harmonized 7 ERPs in 5 days and compressed a raw-material optimization workflow from weeks to minutes. These are outcomes from making a messy multi-system estate operational, not from abstract platform adoption. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What does 10x Partners deliver for supply chain use cases? 10x Partners delivers production Foundry deployments for supply chain environments, including multi-ERP ontology design, procurement command center applications, supplier and shipment visibility layers, and SLA risk management workflows. Engagements typically reach initial production deployment within 8 weeks, with measurable impact against a defined business case before the first phase closes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does Palantir supply chain command center typically take with 10x Partners? 10x Partners typically scopes Palantir supply chain command center as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir supply chain command center? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-05-04). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Palantir DevCon 5: The 5 Launches That Actually Matter > 10x Partners' practitioner take on the most impactful announcements from Palantir DevCon 5 for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/palantir-devcon-5-launches-that-matter **Publication date:** 2026-03-12 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** Palantir implementation ##### Table of Contents ##### 1. AI FDE — The Agent That Builds Agents ##### 2. Orchestrator — Workflows That Wait for Weeks ##### 3. Hivemind — Agent Swarms That Plan and Execute ##### 4. Ontology Transactions — Read-After-Write, Finally ##### 5. Foundry CLI — Local-First Development ##### Tying It Together ##### Key Takeaways - Five DevCon 5 launches matter: upgraded AI FDE, Orchestrator, AIP Analyst GA, Magritte, and AI infrastructure gains. - AI FDE now runs a full eval-driven loop; one demo went from 10% to 90% passing evals unattended. - Orchestrator is a durable runtime that pauses for weeks, checkpoints to the ontology, and coordinates agents. - Magritte extracts structured data from images and documents straight into the ontology. ##### FAQ ###### What were the most important announcements at Palantir DevCon 5? 10x Partners explains Palantir implementation in the context of Palantir DevCon 5: The 5 Launches That Actually Matter. The five launches that matter most for Foundry builders are: a significantly upgraded AI FDE with eval-driven development loops, Orchestrator for durable long-running agentic workflows, AIP Analyst reaching general availability, Magritte for vision-based data extraction, and several AI infrastructure improvements that make production deployment faster. Each addresses a real gap in how enterprise AI moves from demo to operation. ###### What is new about AI FDE after DevCon 5? 10x Partners explains Palantir implementation in the context of Palantir DevCon 5: The 5 Launches That Actually Matter. AI FDE now runs a full eval-driven development loop autonomously. It reads the ontology, explores data, writes AIP Logic functions, generates evaluation suites, runs them, identifies failures, debugs, and iterates until passing. Then it ingests user feedback from production, synthesizes it into new test cases, and self-improves. The developer watches, steers, and approves rather than building from scratch. One demo showed a workflow go from 10% passing evals to 90% passing without human intervention in the logic. ###### What problem does Orchestrator solve for enterprise Foundry deployments? 10x Partners explains Palantir implementation in the context of Palantir DevCon 5: The 5 Launches That Actually Matter. Most agent frameworks assume conversations last minutes. Enterprise processes like insurance pre-authorization, procurement approvals, and compliance reviews can take weeks, involving human inputs, document uploads, and external system responses. Orchestrator is a durable execution runtime built on the ontology that can suspend execution until a condition is met, auto-shutdown during idle periods to reduce cost, checkpoint state to the ontology for resilient recovery, and coordinate multiple agents through structured ontology writes rather than chat. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What is Magritte and how is it relevant to Foundry builders? 10x Partners explains Palantir implementation in the context of Palantir DevCon 5: The 5 Launches That Actually Matter. Magritte is a vision model capability introduced at DevCon 5 that extracts structured data from images, documents, and visual inputs directly into the Foundry ontology. For builders working with manufacturing inspection data, document-heavy workflows, or physical asset monitoring, it means vision-based signals can join the same operating model as structured operational data without requiring a separate computer vision pipeline. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How should Foundry teams prioritize the DevCon 5 launches? 10x Partners explains Palantir implementation in the context of Palantir DevCon 5: The 5 Launches That Actually Matter. Teams currently delivering applications should prioritize AI FDE upgrades, since eval-driven development directly accelerates build cycles. Teams building long-horizon enterprise workflows should explore Orchestrator for processes that span days or weeks. Teams working in industries with significant document or image data should evaluate Magritte. AIP Analyst is immediately relevant for any use case where business users need to query the ontology without writing code. ###### How long does Palantir implementation typically take with 10x Partners? 10x Partners typically scopes Palantir implementation as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for Palantir implementation? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-03-12). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### 10x Partners Built an AI Voice Agent for 10x Partners' Website > How 10x Partners deployed an ElevenLabs-powered voice agent on its own site as a live demo of agentic product delivery for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/we-built-an-ai-voice-agent-for-our-website-10x-partners **Publication date:** 2026-03-10 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** ElevenLabs voice agents ##### Table of Contents ##### Here's What It Took. ##### What the Agent Does ##### How We Built It ###### 1. Knowledge Base — What the Agent Knows ###### 2. System Prompt & Tool Configuration — What the Agent Can Do ###### 3. CRM & Team Integration — What Happens After ##### What We Learned ##### Beyond Palantir — We Build Agents Anywhere ##### Try It Yourself ##### Key Takeaways - 10x Partners deployed a production ElevenLabs voice agent on 10x-partners.com. - It answers from a curated knowledge base, navigates the site live, and captures leads in conversation. - Navigation is locked to 25+ valid paths, so it cannot invent broken URLs. - It pushes structured leads (name, email, interest) straight into the CRM, with no form. ##### FAQ ###### What is the AI voice agent that 10x Partners deployed on their website? ElevenLabs voice agents is a real-time voice concierge built with ElevenLabs that answers questions about 10x Partners services using a curated knowledge base, navigates the website for visitors in real time, captures leads conversationally without forms, and notifies the team the moment a high-intent conversation starts. It operates 24 hours a day as a fully automated SDR, with no human in the loop for standard interactions. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does the voice agent navigate the website in real time? 10x Partners explains ElevenLabs voice agents in the context of 10x Partners Built an AI Voice Agent for 10x Partners' Website. Navigation is handled through a constrained tool configuration with an explicit list of 25 or more valid paths including deep-links to specific service sections and individual case studies. When a visitor mentions a topic, the agent calls a navigation tool that scrolls the page to the relevant section. The agent cannot invent broken URLs because it is constrained to paths that actually exist, which eliminates a common hallucination failure mode. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How does the agent capture leads without a form? 10x Partners explains ElevenLabs voice agents in the context of 10x Partners Built an AI Voice Agent for 10x Partners' Website. The agent collects name and area of interest through the voice conversation, then invites the visitor to type their email for accuracy. Once confirmed, it calls a lead capture tool that pushes a structured record directly into the CRM with name, email, and area of interest. The entire process happens mid-conversation, without interrupting the interaction or routing the visitor to a separate form page. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### What knowledge base powers the voice agent and how is it kept current? An automated extraction pipeline crawls every page on the 10x Partners website, converts services, case studies, and team bios into structured documents, and feeds them directly into the agent knowledge base. The agent answers only from that verified content. When it does not know something, it says so rather than fabricating an answer. The pipeline keeps the knowledge base synchronized as the website changes. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### Why did 10x Partners build a voice agent rather than a standard chatbot? The hypothesis is that voice lowers the engagement barrier because nobody likes forms. A real-time voice conversation feels more like talking to a knowledgeable colleague than filling in fields. For a company whose core business is high-trust enterprise engagements, the agent also demonstrates in real time that 10x Partners builds and ships AI rather than only advising others to do so. The same operating model is relevant to Palantir Foundry and AIP because governed ontology context is what turns analysis into production action. ###### How long does ElevenLabs voice agents typically take with 10x Partners? 10x Partners typically scopes ElevenLabs voice agents as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for ElevenLabs voice agents? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-03-10). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry > Design patterns and implementation guidance for integrating ElevenLabs voice agents into Palantir Foundry workflows for teams building production workflows on Palantir Foundry and AIP. **Canonical URL:** /resources/elevenlabs-voice-agents-design-for-palantir-foundry **Publication date:** 2026-02-19 **Type:** Article **Author:** Antoine Allard, Partner, 10x Partners **Primary keyword:** ElevenLabs voice agents ##### Table of Contents ##### 1. Default to GET endpoints — always ##### 2. Name your tools like function signatures ##### 3. Describe what the tool does — never when to use it ##### 4. One tool, one job — eliminate overlaps ##### 5. Match parameter types exactly — or fail silently ##### 6. Separate tool descriptions from system prompts ##### Summary: The 6 rules ##### Key Takeaways - Default to GET endpoints; LLMs fill flat parameters reliably, while POST bodies invite malformed JSON. - Name tools like function signatures: lowercase, underscores, verb-first. - Describe what a tool does, never when to use it. Routing guidance in descriptions hurts selection. - Use enums over free text, keep required parameters minimal, and test each tool in isolation first. ##### FAQ ###### Why should voice agent tools use GET endpoints by default? 10x Partners explains ElevenLabs voice agents in the context of 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry. When an LLM calls a GET endpoint, it fills in query parameters: key-value pairs in a URL that are flat, predictable, and hard to malform. When it calls a POST endpoint, it must generate a valid JSON body with correct nesting, correct types, and correct field names. Malformed JSON is a common failure mode. Wrapping complex POST logic in a Foundry Function that accepts simple parameters eliminates this failure surface and keeps the agent-facing interface clean. ###### How should tools be named for LLM voice agents? 10x Partners explains ElevenLabs voice agents in the context of 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry. Tool names should be lowercase with underscores, verb-first, and descriptive enough that a developer could guess the behavior from the name alone. Examples: get_resolved_tickets_by_email, fetch_single_merit_badge, search_programs_by_name. Before the LLM reads the description or parameters, it reads the name. A vague or inconsistently formatted name forces the model to rely more heavily on descriptions, which slows selection and increases routing errors. ###### What is the most counterintuitive tool design rule for voice agents? 10x Partners explains ElevenLabs voice agents in the context of 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry. Describe what the tool does, never when to use it. The instinct is to write routing guidance in descriptions: use this tool when the user asks about their ticket status. That actually makes tool selection worse because the LLM tries to match conversational phrasing to routing instructions rather than to capability descriptions. Descriptions should state what the tool does and what it returns, and let the model handle routing from that. ###### What parameter design choices make voice agent tools most reliable? 10x Partners explains ElevenLabs voice agents in the context of 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry. Use strong types, never free-text strings where an enum will work. If a parameter accepts a fixed set of values, enumerate them. Use optional parameters with explicit defaults rather than requiring the agent to always supply every field. Keep required parameters to the minimum necessary for the tool to function. Every additional required parameter is another place the agent can fail, especially in a voice context where the user may not have provided all details. ###### What are the 6 rules for building reliable ElevenLabs voice agents on Palantir Foundry? 10x Partners explains ElevenLabs voice agents in the context of 6 tool design rules for building reliable ElevenLabs voice agents on Palantir Foundry. Default to GET endpoints. Name tools like function signatures: lowercase, underscores, verb-first. Describe what the tool does, not when to use it. Use strong types and enumerated values for parameters. Keep the number of required parameters minimal. Test every tool in isolation with realistic agent-generated inputs before connecting it to a live voice session. These rules address the real failure modes seen across dozens of production integrations. ###### How long does ElevenLabs voice agents typically take with 10x Partners? 10x Partners typically scopes ElevenLabs voice agents as a focused pilot or first production increment over 7 to 8 weeks when data access and stakeholder alignment are available. Smaller demonstrations can move faster, including 48-hour prototype work and six-week application builds documented on the 10x Partners site. The exact timeline depends on source-system access, ontology complexity, compliance constraints, and whether the work includes Palantir Foundry, AIP, or both. ###### What makes 10x Partners different from a generalist consultancy for ElevenLabs voice agents? 10x Partners differs from a generalist consultancy because every delivery team is senior-only and Foundry-native, with no junior staffing layer hidden behind the engagement. 10x Partners combines ex-Palantir and senior Foundry delivery DNA with production experience across Palantir Foundry, AIP, ontology design, data pipelines, OSDK applications, and governance. The differentiation is ownership of operational outcomes rather than slide-based recommendations or staff augmentation. ##### Source Article published by Antoine Allard, Partner, 10x Partners (2026-02-19). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Smart Claims > Insurance: AI solution preventing coverage leakage, delivering millions in annual savings, 40% manual-review reduction, and 99% audit accuracy through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/smart-claims **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard & Alexis Dewaele, 10x Partners **Primary keyword:** smart claims leakage prevention ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: AI solution preventing coverage leakage, delivering millions in annual savings, 40% manual-review reduction, and 99% audit accuracy through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Insurance: AI solution preventing coverage leakage, delivering millions in annual savings, 40% manual-review reduction, and 99% audit accuracy.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Smart Claims case study solve? 10x Partners addressed a smart claims leakage prevention problem where the client needed a governed operational system rather than another disconnected analytical view. Automating claim coverage determination by comparing documents to contracts is difficult due to linguistic nuances and dynamic lifecycles. High accuracy and low latency were critical. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Smart Claims case study? 10x Partners deployed a production-oriented solution for smart claims leakage prevention. Developed a Gen AI solution that accounts for contract intricacies and ensures semantic precision. Used Type Script functions and Azure orchestration for scalability. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Smart Claims case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Smart Claims page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Smart Claims case study produce? 10x Partners produced a measurable operational result in the Smart Claims case study. Significantly reduced leakage by preventing blanket claim approvals. Enabled automatic review of claims traditionally falling under threshold-based acceptance. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Smart Claims case study? 10x Partners designed the Smart Claims intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for smart claims leakage prevention? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard & Alexis Dewaele, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Automated Claims Record Capture > Insurance: GenAI processing of 20M claims documents (200M+ pages) in three months through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/automated-claims-record-capture **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard & Alexis Dewaele, 10x Partners **Primary keyword:** claims document automation ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: GenAI processing of 20M claims documents (200M+ pages) in three months through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Details Developed By Antoine Allard & Alexis Dewaele, from past experience Service Offering Implementation Industry Insurance ROI Millions of claims processed in 3 months Challenge Inefficient processing of incoming claims documents (summarizing, record extraction).. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Automated Claims Record Capture case study solve? 10x Partners addressed a claims document automation problem where the client needed a governed operational system rather than another disconnected analytical view. Inefficient processing of incoming claims documents (summarizing, record extraction). Reliance on varying B2B solutions added complexity. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Automated Claims Record Capture case study? 10x Partners deployed a production-oriented solution for claims document automation. Implemented an automated system using AIP and Gen AI to process millions of documents. Optimized for cost and model accuracy. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Automated Claims Record Capture case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Automated Claims Record Capture page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Automated Claims Record Capture case study produce? 10x Partners produced a measurable operational result in the Automated Claims Record Capture case study. Extremely low per-page processing cost enabling high-scale operation. Alleviated manual workload and enhanced claims handling capacity. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Automated Claims Record Capture case study? 10x Partners designed the Automated Claims Record Capture intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for claims document automation? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard & Alexis Dewaele, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Bordereaux processing > Insurance: 2x accuracy and 10x acceleration in processing speed through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/bordereaux-processing **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** bordereaux processing automation ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: 2x accuracy and 10x acceleration in processing speed through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Insurance: 2x accuracy and 10x acceleration in processing speed., Back to Case Studies Bordereaux processing Leveraged cutting-edge GenAI to automate the parsing of complex Bordereaux documents, achieving 2x the accuracy of market leaders & a 10x acceleration in processing speed., Details Developed By Antoine Allard, from past experience Service Offering Implementation Industry Insurance ROI Processing speed 2x faster than market leaders and higher accuracy Challenge Parsing Bordereaux documents is challenging due to lack of standardization and inconsistent headers.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Bordereaux processing case study solve? 10x Partners addressed a bordereaux processing automation problem where the client needed a governed operational system rather than another disconnected analytical view. Parsing Bordereaux documents is challenging due to lack of standardization and inconsistent headers. Manual workflows were error-prone. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Bordereaux processing case study? 10x Partners deployed a production-oriented solution for bordereaux processing automation. Developed a three-pronged asynchronous parsing approach (deterministic logic, code-gen, full Gen AI) using a multi-model consensus 'chain of thought' mechanism. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Bordereaux processing case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Bordereaux processing page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Bordereaux processing case study produce? 10x Partners produced a measurable operational result in the Bordereaux processing case study. Achieved 78% parsing accuracy, outperforming market leaders. Accelerated workflows by 10x, processing complex files in under 2 minutes. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Bordereaux processing case study? 10x Partners designed the Bordereaux processing intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for bordereaux processing automation? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Political Violence > Insurance: enhanced reinsurance pricing accuracy through risk scoring through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/political-violence **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Bartosz Blazejewski, Chief Operating Officer, 10x Partners **Primary keyword:** political violence risk scoring ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: enhanced reinsurance pricing accuracy through risk scoring through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The article positions political violence risk scoring as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Political Violence case study solve? 10x Partners addressed a political violence risk scoring problem where the client needed a governed operational system rather than another disconnected analytical view. Lack of standard analysis for riot, terrorism, and political violence risks. Integration of diverse, unstructured data (news feeds) was required. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Political Violence case study? 10x Partners deployed a production-oriented solution for political violence risk scoring. Integrated 20 data sources to generate granular risk scores. Incorporated scores into actuarial pricing models. Developed a Workshop application with map widgets for visualization. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Political Violence case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Political Violence page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Political Violence case study produce? 10x Partners produced a measurable operational result in the Political Violence case study. Improved ability to mitigate geopolitical risks and refined reinsurance pricing. Established a robust framework for ongoing risk analysis innovation. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Political Violence case study? 10x Partners designed the Political Violence intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for political violence risk scoring? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Bartosz Blazejewski, Chief Operating Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Marketing Impact KPIs > Insurance: competitive intelligence platform for strategic positioning through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/marketing-impact-kpis **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** marketing impact KPIs ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: competitive intelligence platform for strategic positioning through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The article positions marketing impact KPIs as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Marketing Impact KPIs case study solve? 10x Partners addressed a marketing impact KPIs problem where the client needed a governed operational system rather than another disconnected analytical view. Client needed a competitive-intelligence platform to benchmark marketing efforts. Previous KPIs were not accurate or granular enough. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Marketing Impact KPIs case study? 10x Partners deployed a production-oriented solution for marketing impact KPIs. Implemented over 20 KPIs in a custom Foundry app, integrating data from various vendors and Google services. Extended Workshop capabilities using the Foundry API. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Marketing Impact KPIs case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Marketing Impact KPIs page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Marketing Impact KPIs case study produce? 10x Partners produced a measurable operational result in the Marketing Impact KPIs case study. Refined marketing strategy based on superior intelligence. The initiative received positive feedback and underscored the project's strategic value. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Marketing Impact KPIs case study? 10x Partners designed the Marketing Impact KPIs intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for marketing impact KPIs? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Palantir AIP trainings and enablement > Insurance: enabled 200 IT professionals in GenAI capabilities through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/palantir-aip-trainings-and-enablement **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Bartosz Blazejewski, Chief Operating Officer, 10x Partners **Primary keyword:** Palantir AIP training ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: enabled 200 IT professionals in GenAI capabilities through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Details Developed By Bartosz Blazejewski, from past experience Service Offering Enablement Industry Insurance ROI 2-3x in saved tooling costs and external consulting dependency Challenge Scaling Palantir AIP adoption for GenAI use cases required training 200 IT professionals.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Palantir AIP trainings and enablement case study solve? 10x Partners addressed a Palantir AIP training problem where the client needed a governed operational system rather than another disconnected analytical view. Scaling Palantir AIP adoption for Gen AI use cases required training 200 IT professionals. Knowledge gaps limited innovation and increased costs. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Palantir AIP trainings and enablement case study? 10x Partners deployed a production-oriented solution for Palantir AIP training. Designed and delivered in-person and online training paths for Palantir AIP. Provided foundational and advanced skills, including pro-tips and state-of-the-art Gen AI techniques. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Palantir AIP trainings and enablement case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Palantir AIP trainings and enablement page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Palantir AIP trainings and enablement case study produce? 10x Partners produced a measurable operational result in the Palantir AIP trainings and enablement case study. Expanded the Foundry user base and solidified it as the preferred platform for Gen AI. Equipped professionals with skills to innovate while managing costs. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Palantir AIP trainings and enablement case study? 10x Partners designed the Palantir AIP trainings and enablement intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for Palantir AIP training? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Bartosz Blazejewski, Chief Operating Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Data science Migration to Foundry > Insurance: unified tech stack with enhanced ML capabilities through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/data-science-migration-to-foundry **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Bartosz Blazejewski, Chief Operating Officer, 10x Partners **Primary keyword:** data science migration to Foundry ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Insurance: unified tech stack with enhanced ML capabilities through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The article positions data science migration to Foundry as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Data science Migration to Foundry case study solve? 10x Partners addressed a data science migration to Foundry problem where the client needed a governed operational system rather than another disconnected analytical view. Onboarding 12 data scientists from Databricks and Azure to Palantir Foundry without disrupting productivity. Adapting GPU-based workloads for model training was required. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Data science Migration to Foundry case study? 10x Partners deployed a production-oriented solution for data science migration to Foundry. Optimized Foundry's GPU provisioning for model training. Created comprehensive documentation and targeted upskilling. Delivered a migration strategy report demonstrating Foundry's ML advantages. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Data science Migration to Foundry case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Data science Migration to Foundry page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Data science Migration to Foundry case study produce? 10x Partners produced a measurable operational result in the Data science Migration to Foundry case study. Successful onboarding and decommissioning of legacy platforms (Azure/Databricks). Unified the tech stack for machine learning and enhanced operational efficiency. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Data science Migration to Foundry case study? 10x Partners designed the Data science Migration to Foundry intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for data science migration to Foundry? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Bartosz Blazejewski, Chief Operating Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### 360 Single Client View > Financial Services: unified 100+ PB of banking data for entity resolution through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/360-single-client-view **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** single client view ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Financial Services: unified 100+ PB of banking data for entity resolution through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Back to Case Studies 360 Single Client View Contributed to the development of a high-performance ontology unifying over 100 PB of banking data, enabling accurate entity resolution and delivering a comprehensive single-client view to satisfy critical compliance requirements., Details Developed By Antoine Allard, from past experience Service Offering Implementation Industry Financial Services ROI 100x ROI from computing costs savings Challenge Integrating over 100 PB of banking data for entity resolution in a highly regulated environment., Results 100x ROI from compute cost savings.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the 360 Single Client View case study solve? 10x Partners addressed a single client view problem where the client needed a governed operational system rather than another disconnected analytical view. Integrating over 100 PB of banking data for entity resolution in a highly regulated environment. Complex requirements for PII and data manipulation. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the 360 Single Client View case study? 10x Partners deployed a production-oriented solution for single client view. Optimized Spark pipelines for massive-scale processing. Focused on precise partitioning, Spark plan optimizations, and memory utilization in the ontology. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the 360 Single Client View case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The 360 Single Client View page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the 360 Single Client View case study produce? 10x Partners produced a measurable operational result in the 360 Single Client View case study. 100x ROI from compute cost savings. Created a foundational framework supporting hundreds of downstream users and averting regulatory fines. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the 360 Single Client View case study? 10x Partners designed the 360 Single Client View intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for single client view? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Anti-Financial Crime Alerting > Financial Services: automated suspicious-transaction monitoring at reduced cost through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/anti-financial-crime-alerting-system **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** anti-financial crime alerting ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Impact ##### Ready to achieve similar results? ##### Quick Synthesis Financial Services: automated suspicious-transaction monitoring at reduced cost through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Details Developed By Antoine Allard, from past experience Service Offering Governance Industry Financial Services ROI 3x cost reduction vs., 3rd-party solution, record accuracy, Fincen filing 90% automated and taking <24hrs., Solution Led end-to-end implementation on Foundry in 3 months.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Anti-Financial Crime Alerting case study solve? 10x Partners addressed a anti-financial crime alerting problem where the client needed a governed operational system rather than another disconnected analytical view. Client needed a flexible AFC system to replace a costly vendor solution. Required custom AML rules, entity resolution, and automated compliance filings. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Anti-Financial Crime Alerting case study? 10x Partners deployed a production-oriented solution for anti-financial crime alerting. Led end-to-end implementation on Foundry in 3 months. Integrated an alerting system with advanced entity resolution and enabled automated FINCEN filings. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Anti-Financial Crime Alerting case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Anti-Financial Crime Alerting page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Anti-Financial Crime Alerting case study produce? 10x Partners produced a measurable operational result in the Anti-Financial Crime Alerting case study. Financial Services: automated suspicious-transaction monitoring at reduced cost The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Anti-Financial Crime Alerting case study? 10x Partners designed the Anti-Financial Crime Alerting intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for anti-financial crime alerting? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Post-delivery support > Financial Services: zero ingestion failures over a six-month support period through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/post-delivery-support **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** Foundry managed operations ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Financial Services: zero ingestion failures over a six-month support period through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are Financial Services: zero ingestion failures over a six-month support period., Back to Case Studies Post-delivery support Set up post-delivery task force providing proactive Foundry support to a leading UK fintech, ensuring seamless data pipeline operations and zero ingestion failures over 6 months., £250'000+ in operational savings over 6 months Challenge Client faced frequent data ingestion failures and quality issues after go-live, risking operational disruptions.. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Post-delivery support case study solve? 10x Partners addressed a Foundry managed operations problem where the client needed a governed operational system rather than another disconnected analytical view. Client faced frequent data ingestion failures and quality issues after go-live, risking operational disruptions. Lack of internal Foundry experts for rapid troubleshooting led to slow incident resolution. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Post-delivery support case study? 10x Partners deployed a production-oriented solution for Foundry managed operations. Established a dedicated Foundry support task force for 5 days per month. Automated pipeline health checks and data quality validation. Implemented structured communication for triaging user queries. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Post-delivery support case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Post-delivery support page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Post-delivery support case study produce? 10x Partners produced a measurable operational result in the Post-delivery support case study. Zero ingestion failures during the support period. Enhanced data trust and streamlined user communication, reducing internal escalations. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Post-delivery support case study? 10x Partners designed the Post-delivery support intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for Foundry managed operations? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Supply Chain Monitoring > Energy: secure platform for partner data integration and tracking through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/supply-chain-monitoring **Publication date:** 2026-03-13 **Type:** Case Study **Author:** Antoine Allard, Chief Executive Officer, 10x Partners **Primary keyword:** supply chain monitoring ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis Energy: secure platform for partner data integration and tracking through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The article positions supply chain monitoring as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Supply Chain Monitoring case study solve? 10x Partners addressed a supply chain monitoring problem where the client needed a governed operational system rather than another disconnected analytical view. Developing a tracking platform for energy sector supply chains requiring robust data integration and compliance (e.g., EU's CBAM). Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Supply Chain Monitoring case study? 10x Partners deployed a production-oriented solution for supply chain monitoring. Developed foundational apps for the Agora platform (Integration, Sharing, Supply Chain). Created a Compliance module in Foundry to mitigate risks based on 200+ pages of regulation. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Supply Chain Monitoring case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Supply Chain Monitoring page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Supply Chain Monitoring case study produce? 10x Partners produced a measurable operational result in the Supply Chain Monitoring case study. Enabled over 10 energy partners to mitigate financial risks and optimize supply chain strategies. Enhanced transparency and compliance across the ecosystem. The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Supply Chain Monitoring case study? 10x Partners designed the Supply Chain Monitoring intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for supply chain monitoring? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by Antoine Allard, Chief Executive Officer, 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Centralized WhatsApp Communication Hub > HealthTech: 5x conversion increase with AI-powered patient engagement through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/centralized-whatsapp-communication-hub **Publication date:** 2026-03-13 **Type:** Case Study **Author:** 10x Partners **Primary keyword:** WhatsApp communication hub ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Results ##### Ready to achieve similar results? ##### Quick Synthesis HealthTech: 5x conversion increase with AI-powered patient engagement through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The most retrieval-ready facts are HealthTech: 5x conversion increase with AI-powered patient engagement., Back to Case Studies Centralized WhatsApp Communication Hub Built a centralized WhatsApp platform on Palantir Foundry that drove 5x conversion increase for a HealthTech provider, replacing fragmented sales messaging with AI-powered engagement., Details Developed By 10x Partners Service Offering Implementation Industry HealthTech ROI 5x conversion rate increase, six-figure incremental revenue per marketing cycle Challenge A Digital Health provider offering a premium coaching program was leaving significant conversion potential untapped .. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Centralized WhatsApp Communication Hub case study solve? 10x Partners addressed a WhatsApp communication hub problem where the client needed a governed operational system rather than another disconnected analytical view. HealthTech: 5x conversion increase with AI-powered patient engagement Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Centralized WhatsApp Communication Hub case study? 10x Partners deployed a production-oriented solution for WhatsApp communication hub. HealthTech: 5x conversion increase with AI-powered patient engagement The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Centralized WhatsApp Communication Hub case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Centralized WhatsApp Communication Hub page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Centralized WhatsApp Communication Hub case study produce? 10x Partners produced a measurable operational result in the Centralized WhatsApp Communication Hub case study. HealthTech: 5x conversion increase with AI-powered patient engagement The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Centralized WhatsApp Communication Hub case study? 10x Partners designed the Centralized WhatsApp Communication Hub intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for WhatsApp communication hub? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. --- #### Foundry-native set up > HealthTech: strategic transformation into a Foundry-native company through senior Palantir Foundry and AIP delivery by 10x Partners. **Canonical URL:** /case-studies/foundry-native-set-up **Publication date:** 2026-03-13 **Type:** Case Study **Author:** 10x Partners **Primary keyword:** Foundry-native setup ##### Table of Contents ###### Details ###### Challenge ###### Solution ###### Impact ##### Ready to achieve similar results? ##### Quick Synthesis HealthTech: strategic transformation into a Foundry-native company through senior Palantir Foundry and AIP delivery by 10x Partners. The case study shows how 10x Partners connects a concrete business problem to an operational Palantir Foundry solution, with AIP-relevant patterns for governed AI, workflow ownership, and measurable outcomes. The article positions Foundry-native setup as a way to reduce deployment friction, improve governance, and make AI workflows operational rather than experimental. The lesson for buyers is that senior-only delivery compresses the path from diagnosis to production evidence. ##### FAQ ###### What problem did the Foundry-native set up case study solve? 10x Partners addressed a Foundry-native setup problem where the client needed a governed operational system rather than another disconnected analytical view. Client had great ambitions to scale Foundry adoption internally with multiple use cases identified, but lacked role clarity and practical experience across the platform lifecycle. Team members were at varying levels of Foundry maturity. Coordination across business, technical, and data teams needed better structuring. Palantir Foundry provided the operating layer for connecting data, logic, and workflow ownership, while AIP patterns made AI outputs easier to govern and operationalize. ###### What did 10x Partners deploy in the Foundry-native set up case study? 10x Partners deployed a production-oriented solution for Foundry-native setup. Designed and provided a custom enablement program with learning tracks for 6 key Foundry roles with a clear RACI matrix. Provided direct end-to-end guidance on initial use cases, including ontology design, solution blueprints, and Jira-based agile workflow setup. The delivery pattern connected source data, business entities, decision logic, and user workflows in Palantir Foundry, with AIP-relevant controls for AI-assisted analysis, automation, and human validation. ###### How long did the Foundry-native set up case study take with 10x Partners? 10x Partners frames comparable Palantir Foundry deployments around fixed-price pilots in the first one to two months and 7 to 8 week production increments when the scope is focused. The Foundry-native set up page does not publish a precise delivery duration, so buyers should treat the timeline as scope-dependent. The key planning variables are data access, source-system complexity, ontology design depth, and the amount of AIP enablement required. ###### What result did the Foundry-native set up case study produce? 10x Partners produced a measurable operational result in the Foundry-native set up case study. HealthTech: strategic transformation into a Foundry-native company The result matters because Palantir Foundry connected the underlying business context to action, while AIP-compatible design patterns supported governed AI, repeatable decisions, and auditability. ###### What would have happened without intervention in the Foundry-native set up case study? 10x Partners designed the Foundry-native set up intervention to prevent the client from continuing with fragmented workflows, manual reconciliation, slow decisions, or avoidable leakage. Without a governed Palantir Foundry operating layer, the client would likely have kept absorbing hidden operational cost and delayed AI value. AIP would have been harder to apply safely because the business context and workflow ownership would remain scattered. ###### What makes 10x Partners different from an in-house team for Foundry-native setup? 10x Partners differs from an in-house-only approach because the firm brings senior Foundry-native engineers who have already shipped similar Palantir Foundry and AIP systems in production. An in-house team may own the domain, but 10x Partners accelerates ontology design, pipeline delivery, application buildout, governance, and enablement. The best model is usually embedded delivery, where 10x Partners builds with the client team and transfers operational capability. ##### Source Case study published by 10x Partners (2026-03-13). Reviewer: Yohann Doillon, Partner & Chief Commercial Officer, 2026-06-17. *Last updated: 2026-06-17 — 10x-partners.com — llms-full.txt*