AI-Powered Fraud Detection for Insurance

Our AI analyses vast amounts of data—including claims history, behavioral patterns, and digital footprints—to detect anomalies and suspicious activities in real time. Machine learning continuously improves accuracy, reducing false positives and catching fraudsters early.

Our system identifies various fraud types, including:

• Application fraud (fake identities, misrepresentation)
• Claims fraud (inflated bills, staged accidents, fake injuries)
• Agent fraud (mis-selling, commission manipulation)
• Premium diversion (unreported payments)

Our AI achieves 95%+ accuracy in fraud detection by combining predictive analytics, OCR-powered document checks, and behavioral pattern recognition—significantly reducing false positives.

Yes! Our fraud detection platform offers seamless API integration with your core insurance systems, CRMs, and claims management tools without disrupting workflows.

By analyzing a user’s online behavior, device fingerprints, and social signals, we detect inconsistencies in identity claims—flagging high-risk applicants before onboarding.

Yes. Our predictive fraud models flag suspicious claims early, preventing payouts to fraudsters. Insurers using our solution report lower claims leakage and improved loss ratios.

Our system automates 95%+ of fraud screening , but critical cases can be escalated to human investigators for final review—balancing speed and precision.

Real-time monitoring ensures instant alerts during onboarding, policy issuance, and claims processing—stopping fraud before payouts occur.

Yes! Our AI is trained on insurance-specific datasets , with customizable rules for auto, health, property, and life insurance fraud patterns.