FraudLens
Score every claim at FNOL, in milliseconds. Flag suspicious claims before payout with anomaly detection, image forensics, and network analysis.
Capabilities
- Anomaly detection on claim patterns, networks, and submission behavior
- Image Forensics for the AI Era: Fraudsters now use GANs, DALL·E, and Midjourney to create fake damage photos. FraudLens detects what human eyes miss with pixel-level analysis, AI-generation detection, metadata forensics, and cross-claim matching
- Fraud Ring Detection: Organized fraud costs more than opportunistic fraud. FraudLens maps entity relationships, detects patterns across providers/attorneys/claimants, and provides visual network graphs for SIU investigation
- SIU workflow integration with investigation queue
- External database lookups (ISO, NICB, fraud bureaus)
Outcomes
- Detection 3x more fraud vs. rules-based
- Resolution 50% faster SIU case closure
- Precision 75% fewer false positives