Strategy and Solutions
The client was a digital financial services company offering lending, payments, and fraud monitoring products. Its risk models processed large volumes of real-time transaction data and required low-latency inference while meeting strict compliance requirements.
The fintech firm needed to process large datasets for model training while maintaining strict controls over regulated customer data. Certain workloads had to remain on-premise for compliance, while others required elastic cloud resources for large training jobs. Existing infrastructure lacked orchestration capabilities, forcing teams to manually decide where workloads ran. This created inefficiencies, unpredictable costs, and limited visibility into model performance across environments.
Zymr helped the fintech firm create a hybrid AI platform capable of scaling advanced risk models without violating compliance requirements. The solution balanced performance, governance, and cost control while enabling rapid innovation in fraud detection and credit decisioning.
Zymr implemented a hybrid AI orchestration platform capable of managing workloads across cloud and on-premise infrastructure.
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