Insurance Fraud Detection
AI for Claims, SIU, and Fraud Teams
AI analyzes public and open-source information to surface contradictions, suspicious documents, hidden relationships, and fraud patterns — helping claims teams make more confident decisions.
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WHAT THE AI CAN REVEAL
Identity, Activity & Timeline Checks
Identity Verification
Reveals connections between claimants, Checks claimant identity, aliases, and public signals for inconsistencies.
Activity Contradiction Detection
Finds public posts that conflict with reported injuries or claim details.
Timeline Verification
Flags mismatches between claim dates, activity timestamps, and external events.
External Event Correlation
Compares claims with weather, news, traffic, and incident reports.
Identity, Activity & Timeline Checks
Document Fraud Detection
Detects altered invoices, medical notes, police reports, and IDs.
Image & Video Verification
Identifies reused images, edits, inconsistent metadata, and manipulated visuals.
Image & Video Verification
Checks whether damage or item photos match reality; flags reused images.
Patterns, Connections & Case Complexity
Relationship Mapping
Reveals connections between claimants, witnesses, providers, and other entities.
Fraud Ring Detection
Detects recurring patterns common in staged accidents and organized fraud.
Multi-Claim Pattern Discovery
Finds repeated names, addresses, vehicles, or service providers across claims.
AI-Powered Claim Triage
Highlights high-risk claims and prioritizes cases for SIU review.
Investigation workloads aren’t slowing down.
