Snorkel for
insurance
From actuarial pricing to claims acceleration, Snorkel helps insurers build specialized AI agents for their highest-consequence workflows, where generic models fall short and precision is non-negotiable.
Insurance AI that's built to be right, not just plausible
Insurance decisions depend on specialized knowledge that generic models don't have: actuarial tables, coverage language, jurisdictional regulations, and fraud patterns that vary by line of business and geography. Errors and hallucinations are not just inconveniences. An incorrect coverage determination can trigger a bad-faith claim. An inaccurate reserve recommendation can distort financial statements.
Snorkel's approach starts with domain-specific evaluations tied directly to the metrics that matter: underwriting accuracy, claims leakage, pricing precision, and compliance thresholds. Snorkel works with your actuaries, underwriters, and claims experts to define what good looks like. Agents are deployed inside your security boundary, trained on your proprietary data and expertise, and built to iteratively improve over time.
Underwriting intelligence
Cut underwriting cycle times, reduce referral rates, and drive consistency across underwriters with agents that interpret complex submission data, surface risk signals, and generate recommendations evaluated against expert judgment, not generic benchmarks.
Actuarial pricing support
Cut time-to-quote and free your team for high-judgment decisions. Empower actuaries and underwriters to query pricing models, interpret loss curves, and generate pricing rationale in real time with accuracy they can defend.
Claims triage & acceleration
Reduce claims leakage and accelerate cycle times with agents that classify incoming claims, extract structured data from unstructured documents, and route to the right adjuster automatically.
Policy document intelligence
Extract key terms, exclusions, and coverage details from policy documents at scale, enabling faster renewals, accurate re-underwriting, and defensible compliance checks across medical billing and other complex document types.
Risk assessment automation
Score risk more accurately and price more competitively by synthesizing third-party data including satellite imagery, telematics, IoT, and credit with internal policy and claims history, evaluated against historical loss outcomes and the signals your underwriters already trust.
Regulatory & compliance QA
Reduce regulatory exposure by reviewing filings, coverage correspondence, and policy language against jurisdiction-specific requirements, with agents that can be retrained as explainability and adverse action standards evolve without rebuilding from scratch.
What they said
“Ensuring carriers have the capability for customizing models in safe and scalable ways is of paramount importance. We’re excited to be working with Alex and the founding team to help pioneer the capabilities needed to enable the insurance sector to adopt ML and Generative AI in ethical, fair and data-informed ways.”
AI data development resources for insurance
