Home / Insurance sector / FRISS
FRISS Fraudebestrijding B.V. (Utrecht, Netherlands)FRISS
Trust Automation platform for property and casualty (P&C) and life insurers that automates underwriting, claims handling and special investigations with real-time AI risk analysis. Founded in Utrecht; active with 300+ insurers in 40+ countries. Averages a 8.9/10 customer rating and reports 90% faster underwriting and 3× more effective fraud case handling.

- Provider based in the Netherlands
Last checked: 11 August 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Real-time fraud detection at acceptance and claims
Automatic risk scoring for new policies
Streamline special investigations (SIU)
Explainable AI, transparent risk scores
Compliance-by-default integration in workflow
Integration with external data sources (KvK, RDW, etc.)Comparable in the insurance sector
Onesuranceon request (fixed price per client…CClaimHandleron request (14 days free, max…
weDAT (FastTrackAI)Pro €59.95/month + €10.35 per AI cal…
Blinqx Risicomanagement (Finly)€50/month per user (with eBlinq…
Bdeoon request
Infermedicaon requestFRISS compared
not public, proprietary ML models (explainable AI / XAI); fully SaaS, hosting location not publicly specified but available to EU customers. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about FRISS
- Which AI model does FRISS use?
- The maker of FRISS does not publicly disclose which AI model sits underneath. Proprietary ML models (explainable AI / XAI); fully SaaS, hosting location not publicly specified but available to EU customers.
- How much does FRISS cost?
- on request (SaaS, enterprise). Check the current price on the provider's website; prices change often.
- Who is FRISS for?
- FRISS focuses on the insurance sector. It fits work such as assessing and routing claims (triage and allocation), detecting fraud and risk patterns in real time during underwriting and claims, and building custom premium calculation and underwriting models.
- What should I watch out for with AI in the insurance field?
- AI systems for underwriting, premium calculation and claims handling fall under the EU AI Act (high risk for life insurance and health-related policies): human oversight, audit logs and explainability are mandatory. The DNB requires insurers to inform customers when AI has decision-making authority. Insurance data contains health and financial information, special category personal data under the GDPR. Only use solutions with a data processing agreement, EU hosting and explainable AI (XAI).
Every Friday: what changed in AI for the insurance sector
New models, prices, oversight and tools, with sources and what it means for you. One email a week, unsubscribe with one click.