ML Model Observability Platforms

A curated 2026 directory of 6 leading ML and AI observability platforms helping teams monitor model performance, detect data drift, and evaluate LLMs and agents in production.

• Coralogix AI Observability (formerly Aporia)

  Real-time tracking of AI agent performance, cost, quality, and security across every AI interaction, with hallucination and anomaly detection.

• Arize AI

  The continual learning platform for agents, providing observability, evaluation, tracing, and experimentation to help AI systems improve themselves.

• Arthur AI

  Performance evaluation, bias detection, built-in guardrails, and monitoring to take control of your ML, GenAI, and agentic AI stack.

• DataKitchen

  Open-source data quality testing and DataOps observability software that auto-generates tests and monitors data journeys across ML pipelines.

• Gradient (Paperspace)

  Enables individuals and teams to quickly develop, track, and collaborate on machine learning models of any size and complexity.

• Evidently AI

  Open-source AI evaluation and observability to test, monitor, and visualize model performance, data drift, and LLM quality.