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DataCaffe.ai
Insurance

Insurance

From claims to underwriting — faster, fairer, defensible.

Every carrier we work with is under the same three pressures at once: close claims faster, underwrite tighter, prove every decision is explainable to a regulator. We build AI into the parts of the value chain where money actually moves — FNOL triage, fraud detection, and the underwriting workbench — and leave the parts that don't need AI alone.

Insurance AI Decision Engine
Governed
Signals In
Policy core
Claims / FNOL
Distribution
Telematics
DataCaffe.aiBreww Core Runtime
Sub-14ms SLA
Ingest
Reason
Decide
Govern
100% Policy Lineage GuaranteedDataCaffe.ai
30–50%
faster first-notice-of-loss triage
10–20%
lift in fraud recovery
2–4pt
combined-ratio improvement
Where we help

The problems we hear over and over.

Every Insurance team we sit down with is fighting some version of these — and each one maps to a use case we have already shipped.

See how we solve them
01Rising loss ratios and adjuster capacity constraints
02Fragmented data across policy, claims, distribution, and telematics
03Regulatory pressure on model explainability and bias
04Legacy core systems that resist real-time signals
Get started

Bring insurance AI into production.

Tell us the problem you're trying to solve. A senior partner from our insurance practice will get back inside a business day.

Talk to our Insurance team

Tell us about your organization and what problem you are solving.

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Insurance · DataCaffe.ai