What It Does
Arize AI is an AI observability and evaluation platform that helps teams build, monitor, and improve machine learning models, large language models, and AI agents in production.
It gives clear visibility into how AI systems behave, so teams can catch issues early and continuously improve performance.
Key Features
- AI & Agent Observability: Track and understand how models and agents behave in real-world usage.
- LLM Evaluation: Automatically and manually evaluate AI outputs to maintain quality and accuracy.
- Tracing & Debugging: Follow each step an AI agent takes to quickly identify problems.
- Prompt Optimization: Improve prompt performance using real production feedback.
- Evaluation-Driven CI/CD: Catch regressions before they impact users.
- Real-Time Monitoring: Dashboards and alerts for performance, cost, and reliability issues.
- Open Standards & Open Source: Built on open telemetry with an open-source option (Phoenix OSS).
- Enterprise-Ready Scale: Handles massive volumes of traces and evaluations reliably.
Who Is Arize AI For?
- AI Engineers & ML Teams: Build, debug, and optimize AI models and agents.
- Enterprises Shipping AI Products: Ensure reliability, trust, and performance at scale.
- Data Scientists: Monitor drift, quality, and model behavior over time.
- MLOps & Platform Teams: Connect development and production with measurable feedback loops.
- AI Product Teams: Gain confidence before and after launching AI features.
Final Thoughts
Arize AI focuses on what really matters after AI is deployed-visibility, reliability, and continuous improvement.
If you’re serious about shipping AI agents or models that work in the real world (not just in demos), Arize AI gives you the tools to understand what’s happening and fix issues before they become problems. A strong choice for teams building production-grade AI.
