Arize AX

Arize AI builds Arize AX, an enterprise AI engineering platform for observability, evaluation, and improvement of LLM applications, AI agents, and traditional ML models in production. It is complemented by Phoenix, the company's open-source LLM tracing and evaluation toolkit.

Founded in 2020 by Jason Lopatecki (CEO) and Aparna Dhinakaran (Chief Product Officer), Arize AI is a Berkeley-based company that pioneered ML observability and has expanded into LLM and AI agent observability and evaluation. Its flagship commercial product, Arize AX, unifies end-to-end tracing, online and offline evaluation, prompt management, and production monitoring for generative AI applications, autonomous and multi-agent systems, and classical ML models. The platform is built on the open OpenTelemetry and OpenInference standards (via the company's open-source Phoenix project) to avoid vendor lock-in and supports auto-instrumentation across 40+ models, frameworks, and AI tools. Arize AX helps AI engineering teams detect issues such as model drift, hallucinations, bias, and reliability failures, and includes Alyx, an embedded AI agent that helps debug problems and suggest improvements. Enterprise customers span fintech, retail, travel, and other sectors, including Uber, Chime, eBay, Spotify, PepsiCo, Booking.com, and TripAdvisor.

Category

Governance & Security

Pricing

Freemium, Subscription, Usage-based, Contact for pricing

Target Market

AI Engineers, Data Scientists, ML Engineers, Enterprise Developers, CTOs

Founded

2020

Headquarters

Berkeley, California, USA

Customers

Hundreds of enterprise customers including Uber, Chime, eBay, Spotify, PepsiCo, Booking.com, and TripAdvisor

• ✓
  Agent and LLM tracing

  End-to-end tracing of agent behavior and LLM calls with span, trace, and session-level visibility built on OpenTelemetry/OpenInference.

• ✓
  Evaluation framework

  Online and offline evaluations at scale to detect regressions, hallucinations, and quality issues across spans, traces, and sessions.

• ✓
  Alyx AI engineering agent

  An embedded AI assistant that helps debug issues and recommends improvements to prompts and agent systems.

• ✓
  Prompt management and optimization

  Tools to test, version, and optimize prompts and agent harnesses before production deployment.

• ✓
  ML production monitoring

  Real-time monitoring with drift detection, embedding analysis, and bias tracing for traditional machine learning models.

• ✓
  Phoenix open-source toolkit

  A free, self-hostable open-source observability and evaluation library built on the same OpenTelemetry standards.

• •
  Production AI agent debugging

  Trace and debug autonomous and multi-agent systems to find and fix failures before they impact users.

• •
  LLM application evaluation

  Continuously evaluate chatbots, RAG systems, and copilots for correctness, relevance, and hallucinations.

• •
  ML model monitoring

  Detect model drift, data quality issues, and bias in deployed machine learning models in real time.

AX Pro overages are billed at roughly $10/million additional spans and $3/GB additional ingestion. Phoenix is fully free and open source. Third-party sources estimate AX Enterprise contracts start around $50,000/year. Startup pricing program is available.

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