Case Study: Trax builds a robust model repository with ClearML

Trax manages models across 80+ countries with ClearML

Trax, a global retail technology company, needed to manage an increasingly complex ecosystem of machine learning models. Their AI-powered platform required multiple, compatible model components for different use cases, and these models needed to be tracked in various formats for both cloud and edge device deployment. This created a significant challenge in ensuring model interoperability, version control, and secure access.

Using ClearML's ModelStore, Trax built a robust REST API to manage the entire model lifecycle. This solution provided a centralized repository to track model versions, relationships, and metadata, ensuring compatibility between components and that only encrypted, production-ready models were deployed. As a result, Trax simplified model management, reduced version control complexity, and streamlined the deployment of their machine learning models at scale.

Trax