Case Study: DeepMirror scales AI experiment tracking and model development with ClearML

DeepMirror speeds AI drug discovery 2x with ClearML

DeepMirror, a company focused on AI-powered drug design, faced challenges in tracking data, environments, and models from their machine learning experiments. They sought an easy-to-use MLOps solution to improve efficiency and enable streamlined model redeployment. They chose to implement ClearML's open-source platform to address these challenges.

Using ClearML for experiment tracking and data logging allowed DeepMirror to retrieve and compare past and current experiments efficiently. This solution significantly sped up their work, enhanced reliability, and enabled them to run experiments at scale while keeping all data on their own AWS infrastructure. ClearML provided the structured approach needed to identify optimal models and contributed to the company's fast growth.

DeepMirror