Arize AI

It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production. Arize integrates development and production environments to create a data-driven iteration cycle, where real production data enhances model improvements and continuous monitoring ensures alignment with trusted evaluations. The platform provides instant, end-to-end AI visibility through seamless OpenTelemetry (OTEL) instrumentation, eliminating the need for complex setups. It automates observability across top AI frameworks, enabling faster debugging by tracing prompts, variables, tool calls, and agents.

Arize automates AI evaluation at every stage, combining offline and online checks with LLM-as-a-Judge insights and code-based tests to catch failures early. It scales evaluations in production to ensure reliability and performance. The platform offers real-time AI monitoring with automated anomaly detection, failure simulation, and root cause analysis. Features like auto-thresholding, smart alerts, and customizable metrics help teams stay ahead, while analytical dashboards and AI-powered insights ensure model reliability.

The platform turns production into a feedback loop, providing real-time insights and shared tools that enable AI teams to gain visibility, iterate collaboratively, and deliver better outcomes at scale. It combines human expertise with automated workflows to generate high-quality labels and annotations, refine datasets, and enhance AI applications with smarter data inputs. Arize helps surface failure modes with heatmaps, identify underperforming slices, and optimize model performance while reducing bias.

Arize continuously monitors feature and model drift across training, validation, and production environments to catch unexpected shifts before they impact performance. It leverages AI-driven cluster search to uncover anomalies, identify edge cases, and curate datasets for deeper analysis. The platform also tracks embedding drift across NLP, computer vision, and multi-modal models to maintain stable feature representations.

Built on open-source and open standards, Arize ensures flexibility and transparency. It avoids proprietary frameworks and data lock-in, offering interoperable tools like evaluation libraries and models. The platform is designed by AI engineers for AI engineers, providing total control and transparency. It supports advanced learning hubs for AI specialization, offering best practices and research on evaluating AI agents, from simple single-function agents to complex multi-agent routers.

Arize is deployed by thousands of AI teams and is trusted by professionals from organizations like Microsoft, Flipkart, and Geotab. It is a comprehensive solution for AI observability, evaluation, and monitoring, enabling teams to increase model velocity and improve AI outcomes.