Skip to main content
usedby

As published on comet.com. Captured by usedby on Oct 7, 2026.

What happened

Zencoder uses Opik to trace and evaluate the outputs of its LLM-based coding agents, debug unexpected model behavior, and compare prompts and models across experiments. The shared workspace lets technical and non-technical colleagues review traces and give feedback.

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

Opik was built to scale and supports the team's high volume of experimentation, as they are currently running thousands of experiments daily.

From the page. comet.com, captured Oct 7, 2026

LLMs are black boxes. We don’t know what is going on inside them. We needed a solution that allowed us to see how our models behaved, and Opik gives us the ability to understand what went wrong, and share that with the team to debug and iterate faster.

DMITRII KRASNOV, ENGINEERING MANAGER, Zencoder. Source, captured Oct 7, 2026

If you're not iterating quickly, you're falling behind. Comet's Opik helps us move faster without losing quality.

Dmitrii Krasnov, Engineering Manager at Zencoder, Zencoder. Source, captured Oct 7, 2026

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 Zencoder.
  • Zencoder uses Comet OpikCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

AssemblyAI uses Comet OpikAnother customer of Comet OpikCareRev uses Comet OpikAnother customer of Comet Opik2.5x“train models 2.5x faster than previously experienced on NVIDIA H200s”Mistral AI uses CoreWeave. Same industry: Artificial Intelligence