Insurance is a business of documents, decisions and risk. We build AI that settles claims faster, sharpens underwriting and catches fraud — while keeping every decision explainable and compliant.
Every claim, quote and renewal is a decision made from data — and much of it still passes through manual hands. AI is built for this: reading claim documents, scoring risk consistently and flagging the patterns that signal fraud, all with a clear, auditable rationale.
We build for a regulated world — explainable models, strict data handling and EU AI Act & GDPR alignment from the start.
Read, triage and pre-assess claims so straightforward ones settle in hours, not weeks.
Consistent, explainable risk models that support faster, fairer underwriting.
Spot suspicious claims and patterns early, with fewer false positives for investigators.
Extract and check data from policies, forms and correspondence automatically.
Grounded assistants that answer policy and claim questions from your own data.
Portfolio, churn and loss-ratio analytics built on your own historical data.
We map your highest-value use cases, data and compliance constraints.
By the second call you get a working prototype on your use case — not a spec.
We harden, integrate and ship with audit trails and access control in place.
We watch accuracy and drift so decisions stay reliable and defensible.
Yes — explainability matters in insurance, so we favour models that can justify a risk score or claim decision for regulators, auditors and policyholders.
Yes — we connect to your policy administration, claims and CRM platforms through secure APIs.
We tune models on your real patterns and add context so investigators focus on genuine fraud, not noise.
Yes — GDPR-compliant handling, access control and private models where sensitive data can't leave your environment.
Tell us where the cost and delay sit — we'll map a compliant path to value in a free consultation.
Book a free consultation →