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How Vercel uses Braintrust

ConfirmedVendor case study · Checked Nov 5, 2026
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The use case: how Vercel deploys Braintrust

Vercel uses Braintrust as its eval and observability infrastructure to benchmark newly released AI models against existing ones, catch regressions early, and deploy support for new models quickly. The team also uses production traces to spot quality issues customers may not report directly.

In the customer’s words

Having a robust stack that can tell you whether your change is a good one is just fundamentally required to keep up with the pace of AI.
Malte Ubl, CTO, Vercel — Source
We didn't realize we needed deep observability until Braintrust.
Malte Ubl, CTO, Vercel — Source, captured Oct 6, 2026

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Go straight to the source

Based on Braintrust’s published case study. We check the public evidence; the results are reported by the vendor.

braintrust.dev
Last checked
Nov 5, 2026
braintrust.devCaptured Braintrust case study about VercelOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Vercel.

  • Vercel uses BraintrustChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Braintrust gives the team a structured way to benchmark new models against existing ones, catch performance differences early, and deploy with confidence.
From the page. braintrust.dev