Case Study: Onc.AI advances precision oncology with Valohai MLOps

Precision Oncology Software Development with Advanced Medical Imaging and Multi-omics

Onc.AI is a precision oncology software company that faced challenges in managing complex machine learning workflows for predicting cancer treatment responses. Their need to integrate diverse data sources, ensure full experiment traceability for medical compliance, and orchestrate pipelines across multiple cloud environments required a robust MLOps solution. They implemented the Valohai MLOps platform to overcome these roadblocks.

Using Valohai, Onc.AI automated its ML pipelines, enabling seamless orchestration across major cloud providers and on-premise hardware. The platform provided critical experiment isolation and versioning, creating a complete audit trail from prediction back to the original data source. This resulted in fully traceable and reproducible models, shorter experimentation cycles, and the ability to confidently deploy their life-saving predictions to production for medical oncologists.

Onc.AI

Petr Jordan

Chief Technology Officer