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Arize AI is an AI observability and evaluation platform designed to help teams build, monitor, and improve machine learning models and AI agents in production. Founded by AI engineers, the platform provides a unified environment for development, observability, and evaluation, enabling data-driven iteration cycles. It supports generative AI, LLMs, computer vision, and traditional ML models, offering capabilities such as agent tracing, automated evaluations, prompt monitoring, and anomaly detection. Arize processes over 1 trillion spans and 50 million evaluations per month, serving enterprise teams at companies like Booking, PepsiCo, and Tripadvisor. The platform integrates with OpenTelemetry and open-source tools like Phoenix, ensuring no vendor lock-in. It is ideal for AI engineers, data scientists, and MLOps teams who need to debug, evaluate, and monitor AI systems at scale. Arize also offers Alyx, an AI teammate for LLM development, and adb, a purpose-built datastore for generative AI workloads.
4.7/5
High, consistent, and on-brand
Clean and minimal
One platform for AI observability, evaluation, and development to close the loop between development and production.
Integrates with OpenTelemetry, open-source frameworks, and major cloud providers; supports Python, Jupyter, and standard data formats.
Freemium with paid tiers for enterprise
Features with the highest value for users are highlighted here.
Agent tracing and evaluation
Automated evaluations and experiments
Prompt monitoring and annotations
Real-time observability at petabyte scale
OpenTelemetry-based instrumentation
Open-source evaluation library
Alyx AI teammate for debugging
Enterprise-grade production monitoring
AI Engineers
Data Scientists
MLOps Teams
Enterprise AI Leaders
LLM Application Developers
Computer Vision Teams
Startups
Research Teams
Product Managers
Compliance & Governance
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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