PayFlow scaled to 50K transactions/sec with 99.2% fraud detection accuracy
A growing payment processor engaged us to build a custom fraud detection system that trains and serves real-time inferences without adding latency. We delivered in 8 weeks.
This is an illustrative case study. Company names, identifying details, and testimonials have been changed to protect client confidentiality. The technical solution and target outcomes are representative of the work we do. We extend the same confidentiality to every client.
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.
What we built
We built a custom fraud detection platform with 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.
Target outcomes
More from this project
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.
Representative testimonial — name and role changed to protect client identity.