Commercial insurers and reinsurers do not suffer from a lack of systems. They suffer from the gaps between them. Palantir Foundry and AIP close those gaps, turning every function into one decision layer.
Why now
Insurance leaders are moving AI into underwriting, claims, distribution, and service. The model can answer; the real question is whether it has the governed context to answer safely:
Boards now expect AI in core workflows, not innovation demos.
Broker emails, loss runs, adjuster notes, PDFs: the context lives where reporting never modeled it.
It must respect permissions, authority limits, and lineage from the first workflow.
Conventional landscape
The Palantir play
Palantir makes the insurance value chain computable. 10x makes it real in production.
The play
One live model your teams and AI both work from.
Every answer is grounded in your real data and traces back to its source.
One model across every system
Every function works from the same live data, not its own copy.
Teams act on connected policies, claims, and capital directly in the workflow.
Every answer is backed by source data, with a human in the decision.
Palantir Foundry connects the value chain
Select a function to see the use cases, pain, and connected data inside that part of the organization.
Selected function
Turn submissions, appetite, pricing, and policy or treaty history into one underwriting workspace.
Pain
Underwriters lose time assembling the risk picture before they can decide what deserves attention.
Foundry connects
Focus underwriting effort on the business most likely to fit appetite and move portfolio goals.
Pain
Loss history, exposure, and assumptions live in separate files, so the view is stale before it is priced.
Foundry connects
See the technical price with every driver traceable back to source data.
Pain
Rate erosion and discretionary credits accumulate quietly until discipline has already drifted across the book.
Foundry connects
Catch directional drift and act before the book is already written.
Worked example
An underwriting executive asks why profitability is drifting in a property segment, and whether recent claims should change pricing.
Can the team answer live, without waiting for a manual pack?
Connected objects
Reference demo: AIP Analyst answering an insurance operating question over connected business objects rather than a static report.
Teams assemble a committee pack from spreadsheets, extracts, dashboards, and model outputs.
AIP Analyst queries the ontology, explains drivers, and links the answer back to the operating objects behind it.
Selected case studies
Not a capability catalogue. Three examples showing where the decision layer has already moved from slideware to production work.
Developed an advanced AI solution determining complex claim coverage by comparing documents to contracts, preventing significant leakage.
Contributed to the integration of diverse risk data into Foundry, enabling granular political‐violence risk scores and significantly enhancing reinsurance pricing accuracy and geopolitical risk‐mitigation strategies.
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.
Why 10x Partners
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We help (Re)insurance teams turn Palantir Foundry & AIP into production systems, not another dashboard.
