How CareRev uses Comet Opik
As published on comet.com. Captured by usedby on Oct 7, 2026.
What happened
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.
- 90%“Comet covers about 90% of our needs.”
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.
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
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of CareRev.
- CareRev uses Comet OpikCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.
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