Project Overview
SecurePay, a payment processor, faced rising fraud losses. Intelirate deployed an ML model that scores transactions in under 100ms.
Services Provided
- Anomaly detection (isolation forest, XGBoost)
- Feature engineering on transaction patterns
- Real‑time API endpoint (FastAPI)
- Dashboard for fraud analysts
- Continuous retraining pipeline
Results Achieved
- Fraud losses reduced by 85% ($5M/year saved)
- False positive rate down 60% (fewer declined good transactions)
- Model latency < 80ms at 99th percentile
- ROI achieved in 3 months
Client Feedback
“Intelirate’s model catches fraud we would have missed. It’s been a game changer for our risk team.”
Tech Stack
- Python, Scikit‑learn, XGBoost
- FastAPI, Docker, Kubernetes
- Kafka (streaming), PostgreSQL