Case Study: a Fortune-50 FinTech enterprise achieves faster risk and fraud model execution with Zymr's hybrid AI infrastructure

a Fortune-50 FinTech enterprise improves hybrid AI model execution with Zymr

The customer, a Fortune-50 fintech enterprise, faced challenges in processing large datasets for its AI-driven risk and fraud models while meeting strict data compliance requirements. Their existing infrastructure lacked orchestration, forcing manual workload placement and creating inefficiencies. Zymr was engaged to help build a scalable hybrid AI infrastructure.

Zymr implemented a hybrid AI orchestration platform featuring policy-based workload placement, cloud bursting for training jobs, and secure data segmentation. This solution provided the fintech firm with faster model execution, predictable infrastructure costs, improved utilization, and more reliable deployment pipelines, all while maintaining clear compliance boundaries for sensitive data.