Saq AI protects banks and businesses from financial fraud using machine learning that explains every decision in real time.
Every transaction is captured in real time — amount, location, timestamp, velocity, device fingerprint. Raw data becomes structured signals.
XGBoost model scores each transaction against 20+ engineered features — amount z-score, geo-anomaly, hourly velocity, and behavioral patterns.
Every verdict comes with a SHAP explanation — which factors pushed the risk score up, so analysts understand and trust the decision.
Every fraud verdict includes a SHAP breakdown. Your analysts see exactly which factors triggered the alert — building trust, not just alerts.
Trained on local transaction patterns. Saq AI understands the difference between a normal Kaspi transfer and a genuine anomaly in the KZ market.
Sub-50ms inference means every transaction is scored before it completes. No batch processing. No delayed alerts. Just instant verdicts.
Open architecture. Your team can inspect, retrain, and extend the model. Saq AI is a platform, not a locked system.
Join the early access program. We're working with banks and fintech companies across Kazakhstan.