Case Study: Orbem accelerates industrial MRI AI workflows with ClearML

A ClearML Case Study

Preview of the Orbem Case Study

Orbem speeds MRI model debugging in minutes with ClearML

Orbem, a deep-tech startup specializing in industrial MRI, faced significant challenges in debugging AI training failures and optimizing models for real-time, edge-device deployment. Their process was overwhelmed by manual SSH sessions, environment mismatches, and the difficulty of tracing performance bottlenecks, which slowed down their development cycle. They turned to vendor ClearML and its product ClearML Session to address these operational headaches.

The solution implemented by ClearML provided Orbem with on-demand, interactive environments to seamlessly debug, profile, and optimize their models. Using ClearML Session, engineers could instantly recreate any past experiment's exact conditions to diagnose issues and test optimizations on production-like hardware. This resulted in fixing crashes in minutes instead of hours, catching performance bottlenecks early, and ensuring models were production-ready, saving days of trial and error and allowing the team to focus on innovation.


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