AI evaluation for Insurance

Evaluate decisions behind every quote, claim, and answer

Test insurance AI against product rules, source documents, underwriting criteria, and customer-service standards. Then monitor real workflows for accuracy, consistency, required behaviours, and emerging failures.

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All you need to evaluate insurance AI from source to final decision

Synthetic Datasets

Thousands of test cases and simulated conversations generated from our Simulation Engine or your own product specs and files.

Custom metrics

Define your own scorers, thresholds, and quality criteria, or just let the Galtea Simulation Engine build them automatically from your product specs.

Traces

Plug into the logs and traces you already collect, with no second instrumentation effort.

Versions

Re-run the same test suite automatically on every prompt, model, or pipeline change, so regressions get caught before they ship.

Human reviews

Send the hard or flagged cases to expert reviewers, and use their verdicts to sharpen how quality gets scored over time.

GitHub Actions

Run evaluations automatically on every pull request, so a quality or safety regression is blocked before it reaches production.

Monitors

Monitor your production traffic automatically, automatically surface patterns in production, and what's driving them, before your users feel it.

Protect policyholder, claims, and underwriting data

ISO 27001 certified

Independently audited security controls across the full platform.

GDPR compliant

Data processing agreements, retention controls, and right-to-erasure built in.

Self-hosting & Private tenant

Deploy in your own cloud or VPC. Your data never leaves your infrastructure.

Premium support

A implementation plan tailored to your stack with a dedicated engineer team.

SSO & MFA

Single sign-on via your existing identity provider, with multi-factor authentication.

Service Level Agreement

Guaranteed response times with escalation paths for production incidents.

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Frequently asked questions

What insurance use cases can Galtea support?

Evaluate claims assistants, customer-service bots, underwriting workflows, document processing, and internal copilots.

Can we test for consistency and fairness?

Define metrics and scenarios to assess consistent behavior, policy adherence, and task-specific quality criteria.

Can we monitor changes after deployment?

Yes. Track results across releases and live interactions to identify regressions or emerging issues.

Can Galtea support auditability?

Yes. Maintain traceable records of evaluations, scenarios, metrics, and results.

Evaluate decisions behind every quote, claim, and answer

All you need to evaluate insurance AI from source to final decision

Evaluate and monitor insurance AI across every workflow

Protect policyholder, claims, and underwriting data

Frequently asked questions

Learn how teams in insurance evaluate AI with Galtea