Case Study: a leading financial technology company achieves 35% better fraud detection with Zymr

a leading financial technology company boosts fraud detection accuracy by 35% with Zymr

The client, a leading financial technology company, was struggling with its existing fraud detection platform's ability to scale with growing payment volumes and sophisticated fraud patterns. Facing operational inefficiencies and limited real-time visibility, the company partnered with Zymr to modernize its platform with a scalable, AI-driven payment risk assessment solution.

Zymr implemented enhanced machine learning models and a high-volume, cloud-native infrastructure, which included a real-time risk signal processing engine and advanced transaction scoring. This solution delivered a 35% improvement in fraud detection accuracy, 50% faster real-time risk scoring, and secured billions of dollars in transactions with 99.99% platform availability for Zymr's client.