Skip to main content
usedby
Search tools, companies

How TheFork uses Arize AI

As published on arize.com. Captured by usedby on Oct 5, 2026.

What happened

TheFork uses Arize AX to trace and evaluate its LLM-powered features, such as the Ask TheFork semantic restaurant search and customer service assistants. It monitors quality, latency and cost in production, runs online evals to catch regressions, and shares the results between product and engineering teams.

Summary written by usedby from the source page, in English. The figures are those of Arize AI and TheFork, not ours.

Tracing exposed the duplicate work. TheFork removed it, eliminating unnecessary computation and materially reducing p95 latency for the flow.

From the page. arize.com, captured Oct 5, 2026

Thanks to visibility in Arize, we were able to intervene before an issue reached production.

Amir Bitaraf, Senior Machine Learning Engineer, TheFork. Source, captured Oct 2, 2026

Arize AX on AWS gives us prompt-level tracing, automated evaluations, and drift alerts, so we catch regressions early and meet strict Service Level Objective (SLOs) at scale.

Luca Temperini, CTO, TheFork. Source, captured Oct 2, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 5, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of TheFork.
  • TheFork uses Arize AICheckedConfirmed line. Latest check across sources: Oct 5, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

15+“The approach enabled 15+ production use cases in the first six months”Handshake uses Arize AI. Another customer of Arize AIAtropos Health uses Arize AIAnother customer of Arize AIBooking.com uses Arize AIAnother customer of Arize AI