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Arize

Observability and evaluation for AI apps

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What Arize is

Arize is an AI and agent engineering platform. It describes itself as unified LLM observability and agent evaluation, covering development, tracing, evaluators, experiments, prompts, monitoring and annotations, with an enterprise product called Arize AX and an open source line called Phoenix.

What you can do with it

  • Trace agent and RAG requests end to end
  • Run evaluations on output quality
  • Compare experiments and prompt versions
  • Monitor production behaviour

Who it is for

  • AI and ML engineers
  • LLMOps and platform teams
  • Teams responsible for production quality

What to watch out for

  • Observability does not define success; you design the evals, thresholds and remediation
  • Traces and prompts may contain user data; review what gets logged and retained
  • Volume figures on the site are vendor statistics
  • Teams without production traffic may be better served by the open source option first

Pros & cons

✓ What we like

  • Covers tracing, evaluation and monitoring
  • Open source option available
  • Built for agents as well as LLMs

! What to watch out for

  • Evaluation design is your work
  • Logged data may include user content
  • Vendor statistics unverified

FAQ

What does it solve?

Observing, evaluating and improving AI application behaviour in development and production.

How does Phoenix relate to it?

Phoenix is listed as the open source direction, while Arize AX is the enterprise platform.

Does it prevent agent errors?

No. It surfaces and measures them; fixing them is the team's job.

Last reviewed: 2026-09-17

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