Case Study: UVeye streamlines model training orchestration with ClearML

UVeye manages 1M vehicles a month with ClearML

UVEye, a company that scans over one million vehicles each month, faced the challenge of managing the chaos of AI model training orchestration. They needed to efficiently process billions of data frames and videos while optimizing compute resources and team workflows to scale their innovation without being hindered by scattered experiments and runaway costs. They turned to ClearML's AI Development Center for a solution.

ClearML provided UVeye with a robust platform for dataset management and complex training experiment orchestration. The solution delivered comprehensive tracking, effortless visualization of metrics, and easy experiment comparison, allowing the team to quickly identify performance improvements. This enabled UVeye to execute very long training runs efficiently. While specific metrics were not provided for all aspects, the platform's flexibility and integration capabilities helped streamline their operations, letting the team focus on refining models instead of configuring infrastructure.

UVeye