Confident AI provides evaluation, observability, red-teaming, and governance tools for testing and monitoring AI systems.
Arize-Phoenix
Arize Phoenix provides observability and evaluation tools for AI applications and systems.
About Arize-Phoenix
Arize Phoenix is a web-based observability and evaluation tool for AI applications and systems, built by Arize AI. It provides structured workflows for debugging AI app runs and iterating on improvements to boost performance and output quality.
Users can capture detailed step-by-step traces of AI app executions, including model calls, retrieval steps, and custom logic, to diagnose behavior and performance issues. The platform also supports scoring outputs with LLM-based, code-based, or human-labeled evaluators, iterating on prompts using real production data, and running experiments to compare changes across consistent input sets. It integrates with popular AI frameworks, providers, and programming languages via OpenTelemetry and offers auto-instrumentation for common tools.
The tool is designed for AI developers, MLOps teams, and teams building LLM-powered applications that need to monitor output quality, identify failures, and make evidence-based improvements to their AI systems.
Key features
- Step-by-step tracing of AI app runs, including model calls and retrieval steps.
- Score outputs with LLM-based, code-based, or human-labeled evaluators.
- Version, test, and iterate on prompts using real production examples.
- Run experiments to compare application changes across consistent input datasets.
- Auto-instrumentation for popular AI frameworks, providers, and languages.
Best for: Teams building and maintaining LLM-powered AI applications that need to monitor output quality and debug performance issues.
Good for
- Supports OpenTelemetry and auto-instrumentation for common AI tools and languages.
- Offers multiple evaluation types including LLM-as-a-judge and human annotations.
- Includes prompt versioning, a playground, and systematic experiment tools.
Watch out for
- Not an open-source tool.
- Pricing details are not publicly listed.
Arize-Phoenix at a glance
- Website
- arize.com/docs/phoenix
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Arize-Phoenix FAQ
What is Arize Phoenix used for?
Arize Phoenix is an observability and evaluation tool for AI applications, used to debug runs, measure output quality, iterate on prompts, and test changes to improve AI system performance.
Does Arize Phoenix support OpenTelemetry?
Yes, Phoenix is built on OpenTelemetry and accepts trace data via OTLP, with auto-instrumentation available for popular AI frameworks, providers, and languages.
Is Arize Phoenix open source?
No, Arize Phoenix is a proprietary tool built by Arize AI, though it leverages open standards like OpenTelemetry and OpenInference.
What types of evaluations can you run in Phoenix?
Phoenix supports LLM-based evaluators, code-based checks, human annotations, and dataset evaluators that run automatically during experiments.
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