Arize AI is a lifecycle observability and evaluation platform focused on large language models (LLMs) and agents, designed to help teams monitor, analyze, and optimize AI application performance and reliability.
The platform primarily addresses black-box issues in AI applications in production, offering end-to-end traceability, multi-dimensional evaluation, drift detection, and risk alerts from development to operations, ensuring controllable model performance and measurable business impact.
Arize AI supports integration with more than 20 popular frameworks (e.g., LangChain, LlamaIndex) and provides flexible access via the open-source Phoenix component, while supporting both cloud SaaS and on-premises deployments.
Typically you need to sign up and obtain an API key, configure the integration in your application, and the platform will automatically track workflow inputs/outputs, token usage, error information, and other metrics, with dashboards for visual analysis.
Primarily for teams building and operating generative AI applications, including AI R&D engineers, data scientists, MLOps engineers, and product leaders focused on model performance.
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