Finance
Real-time fraud detection platform
Deployed a low-latency anomaly detection system processing millions of transactions daily.
−63%Fraud losses
80msDecision latency
−52%False positives
The challenge
Legacy rules-based fraud detection was producing high false-positive rates and missing novel fraud patterns entirely.
Our approach
Built a streaming feature pipeline feeding an ensemble anomaly-detection model, with a human-review loop to continuously retrain against confirmed fraud cases.