Fraud and anomaly detection — Insurance
Graph and sequence models catching fraud and process anomalies in real time. Delivered for a insurance client in GIFT City.
- Location
- GIFT City
- Year
- 2022
- Duration
- 5 weeks
- Team
- 3 engineers
- 73%
- fraud caught
- −46%
- false positives
- 12k
- tx per second
The challenge
Existing vendors had delivered pieces of a fraud and anomaly detection system, but nobody owned the integration and the pilot had stalled.
What we built
Built in our Motera lab, validated on a replica rig, then commissioned on site in days using XGBoost and Kafka.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Designed, built and supported from Motera, Ahmedabad
- Before-and-after measurements agreed with the client up front
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Documentation, drawings and source handed over at close
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