This is like a super-fast, always-awake auditor for insurance claims. It reads claim data, compares it to patterns from past fraud cases, and flags suspicious activity before money goes out the door.
Manual fraud review is slow, expensive, and misses subtle, evolving fraud patterns. This API automates fraud scoring for claims so insurers can reduce payouts on fraudulent claims and focus human investigators on the riskiest cases.
Classical-ML (Scikit/XGBoost)
Structured SQL
Medium (Integration logic)
Model inference cost and latency at high claim volumes; data integration and quality across multiple policy and claims systems
Early Majority
Positioned as an API-first, easily embeddable fraud detection service rather than a monolithic claims suite; likely lighter-weight to integrate into existing insurer workflows and digital products.