# How CareRev uses Comet Opik

As published on [comet.com](https://www.comet.com/site/customers/carerev/). Captured by usedby on 2026-10-07.

- Company: [CareRev](https://www.usedby.ai/companies/carerev.md)
- Tool: [Comet Opik](https://www.usedby.ai/tools/comet-opik.md)
- Teams: Machine Learning

## What the story says

CareRev's machine learning team uses Comet to track and compare model training experiments, store artifacts, and keep a model registry in one place. The registry is integrated with their CI/CD pipeline to release models. They moved to it from MLflow.

Summary written by usedby from the source page, in English. The figures are those of Comet Opik and CareRev, not ours.

> From training to pushing the new model out, it took us a couple of hours because of the CI/CD pipeline we integrated with the \[model\] registry.

- **90%**: “Comet covers about 90% of our needs.”

> The real selling point of Comet was how it could easily integrate with our training code, easily track everything that we needed, and have a good UI to show it when comparing experiments
>
> Kes Crandall, ML Engineer

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of CareRev.
- Checked: CareRev uses Comet Opik. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/carerev-comet-opik · How we check: https://www.usedby.ai/methodology