# How Uber uses Comet Opik

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

- Company: [Uber](https://www.usedby.ai/companies/uber.md)
- Tool: [Comet Opik](https://www.usedby.ai/tools/comet-opik.md)
- Industry: [Mobility & Ride-hailing](https://www.usedby.ai/companies/industry/mobility-ride-hailing.md)
- Teams: Uber AI

## What the story says

Uber AI researchers use Comet to track and organize offline deep learning experiments, including hyperparameters, metrics and code changes. They also use it to visualize hyperparameter tuning trials from an in-house Bayesian optimization package, and are working to integrate it into Uber's in-house ML framework.

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

> Comet lets us visualize all of the trials using panels and parallel coordinate charts, so that we can derive high-level insights about the hyperparameter search space in addition to getting a tuned set of hyperparameters.

> We found that Comet had these critical customizability features, including code panels, and were also quite willing to engage with us during our evaluation.
>
> Olcay Cirit, research scientist at Uber AI

## 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 Uber.
- Checked: Uber 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/uber-comet-opik · How we check: https://www.usedby.ai/methodology