Case Study: Trigo streamlines AI retail automation with ClearML

Trigo streamlines ML workflows and saves scientists substantial time with ClearML

Trigo, a computer vision startup reshaping retail with an AI-powered automation platform, faced significant challenges in managing its complex AI lifecycle. They sought to avoid painful integration costs and management overhead from juggling multiple systems while aiming to apply efficient software development practices like versioning and CI/CD to their ML workflows. They turned to the vendor ClearML and its open-source MLOps platform to find a solution.

ClearML provided an integrated solution that automated experiment management and orchestration. By adding a small code snippet, Trigo's data scientists could seamlessly clone experiments and schedule execution on their on-prem GPUs through the ClearML interface. This empowered the team to manage their entire ML workflow themselves, saving substantial time and providing the efficient DevOps, collaboration, and CI/CD processes they required for rapid iteration and improved model deployment.

Trigo