Arize AI

Arize AI is an AI engineering platform that helps developers and enterprises evaluate, observe, debug, and continuously improve AI applications and agents. Designed for AI engineers, machine learning teams, data scientists, and enterprise organizations, Arize provides tools for LLM observability, AI evaluation, tracing, prompt experimentation, monitoring, and production debugging. The platform helps teams understand how AI systems behave in development and production while identifying quality issues such as hallucinations, poor retrieval, incorrect tool usage, and performance regressions.

Arize AX provides enterprise AI observability and evaluation capabilities, while Phoenix is Arize’s open-source platform for tracing, experimentation, and evaluation. Phoenix allows developers to trace AI applications, inspect individual model and tool calls, evaluate outputs, manage prompts, create datasets, and run experiments to compare different versions of an application. Its OpenTelemetry and OpenInference-based architecture supports integrations with popular AI frameworks and model providers, helping developers maintain visibility across complex AI workflows.

Arize supports LLM-based evaluations, code-based evaluators, human annotations, RAG evaluation, agent trajectory analysis, prompt management, and experiment tracking. Teams can use production traces to create datasets, test prompt or model changes, compare results, and identify whether an update actually improves AI quality. The platform also provides monitoring capabilities for latency, token usage, cost, and other AI application performance signals.

Arize AI is particularly useful for organizations developing AI agents, RAG applications, chatbots, copilots, and other production AI systems that require continuous quality monitoring. Its combination of development-time experimentation and production observability helps engineering teams move from simply monitoring AI applications to systematically improving them. Phoenix can also be self-hosted, giving developers greater control over sensitive AI application traces and infrastructure.