Fraud Detection and Investigation Capabilities
Multi-Entity Relationship Graph
A graph database maps relationships across claimants, service providers, medical professionals, repair shops, attorneys, and prior claims, revealing organized fraud rings that are invisible to transactional analysis.
Fraud Prediction Models
ML-based scoring of every incoming claim for fraud risk indicators, including behavioral anomalies, network signals, and historical pattern matching.
Shortest-Path Investigation
Graph algorithms identify the most efficient investigative path to confirm or dismiss fraud suspicion, reducing SIU investigation time.
Incremental Network Intelligence
As new claims arrive, the graph continuously updates network connections and refines fraud risk scores for existing open claims.