Machine learning fraud detection built for Canadian payment processors
Real-time machine learning system that identifies unusual transaction patterns as they occur. We analyze behavioral signals—velocity changes, amount deviations, merchant switching patterns—and surface risk scores without blocking legitimate transactions. The system learns from your transaction history and adapts continuously.
Complete framework for embedding fraud detection into your existing payment systems. We provide REST API endpoints, webhook support for real-time alerts, batch scoring for historical data, and detailed implementation documentation. Integration typically takes 2–4 weeks depending on your system architecture.
Configurable alerting infrastructure that notifies your fraud team when anomalies cross defined thresholds. Alerts include transaction details, risk factors, and recommended actions. You control sensitivity levels per merchant, geography, and transaction type to match your operational needs.
We work with your transaction data to train models specific to your payment flows. This includes feature engineering tailored to your merchant mix, false positive calibration, and periodic retraining as patterns evolve. Custom tuning ensures the system works effectively for your unique risk profile.
Contact our team to discuss your integration needs and learn how we can help reduce fraud while keeping good transactions flowing.
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