All case studies
FinTech·January 2025
PayFlow scaled to 50K transactions/sec with 99.2% fraud detection accuracy
A growing payment processor used Cortex to train and serve real-time fraud detection without adding latency. We delivered in 8 weeks.
FinTechFraud DetectionMLPayments
/ The challenge
Where they started
PayFlow was processing 5K transactions per second but their legacy fraud system was missing sophisticated attacks. False positives were at 8%, costing them customers and revenue.
/ The solution
What we built
Cortex hosted ML models trained on PayFlow's transaction history and served real-time inferences via API. False positives dropped to 0.3% while catching 99.2% of actual fraud.
/ Results
The impact
50K/sec
Transaction throughput
99.2%
Fraud detection rate
8% → 0.3%
False positive rate
<50ms
Processing latency
We tried three other vendors. The Internet Company was the only one who delivered on accuracy without adding latency. They understood our business, not just the tech.
Marcus Lee
CTO, PayFlow
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