The observability platform for LLM and ML apps — trace every prompt, catch drift, and debug hallucinations fast.
Arize is where LLM and ML teams go to see what their models are actually doing. Its open-source Phoenix gives you span-level traces of every prompt, token, and tool call, plus evals that catch bad outputs before users do. Instrument anything via OpenTelemetry and you get drift, cost, and hallucination monitoring across millions of calls.
Who it's for: ML and AI platform teams running LLM features in production.
Open-source Phoenix gives span-level traces of every LLM call — latency, tokens, and cost.
Score outputs with LLM-as-judge, embeddings, and custom rubrics to catch failures early.
Track embedding drift, hallucination rate, and latency across production traffic.
Instrument any framework — LangChain, LlamaIndex, Bedrock — with standard OTel.
If you're shipping LLM features to real users, Arize (start with free Phoenix) is the fastest way to stop flying blind. It pairs naturally with LangSmith or AgentOps depending on your stack.