Case Study: CareRev accelerates ML innovation with Comet

How CareRev Uses Comet MPM and Experiment Management to Accelerate Innovation

CareRev, a California-based healthcare staffing marketplace, needed a better way to track, compare, and reproduce machine learning experiments as its team scaled quickly. After finding MLflow insufficient for their needs, the company looked for a more complete platform to help its ML engineers save time, reduce costs, and gain better visibility into model training. They chose Comet for experiment management and model performance tracking.

With Comet’s experiment management, MPM, model registry, and artifacts features, CareRev centralized its ML workflow, improved reproducibility, and made collaboration easier through a shared source of truth for test data and results. The team said Comet helped them go from training to deploying a new model in just a couple of hours through an integrated CI/CD pipeline, and that it covered about 90% of their needs while simplifying analysis and comparison across experiments.

CareRev

Alec Karfonta

Senior ML Engineer