Arize AI
ML and LLM observability platform for tracing, evaluating, and debugging AI in production.
About
Arize AI is an AI observability platform founded in 2020 that helps teams monitor machine learning models and LLM applications in production. It combines experiment tracing, prompt monitoring, drift and bias detection, and evaluation workflows so AI engineers can catch hallucinations, performance degradation, and runaway inference costs before they hit users.
The platform spans the open-source Phoenix project for tracing and the enterprise AX product for production monitoring. In 2026 Dynatrace signed a definitive agreement to acquire Arize in a $915 million cash-and-stock deal, betting that AI observability is becoming a core enterprise requirement as AI workloads move from pilot to production at scale.
What it can do
- LLM tracing from experimentation through production
- Prompt monitoring to detect hallucinations and drift
- Drift, bias, and performance analytics for ML models
- Evaluation workflows tied to production behavior
- Open-source Phoenix tracer plus enterprise AX platform
Setup
Sign up for the Arize platform or self-host the open-source Phoenix tracer, then instrument LLM calls with the provided SDKs.
Prerequisites
Production or experimental LLM/ML workloads to instrument and an Arize account for the hosted platform.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 112; Trending score 86/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.