Automatically detect errors in your AI agents

Atla is the only eval tool that helps developers automatically discover the underlying issues in their agents—and fix them fast.

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Insights that go beyond monitoring

Most monitoring tools show you something broke.
Atla shows you why—and exactly how to fix it.

Monitoring Agents

Your agents are live. Anything can go wrong. Atla gives you real-time visibility into every thought, tool call, and interaction.

Identify Failure Patterns

Atla automatically clusters and ranks similar failures across thousands of interactions, so you spend time investigating the right issues.

Make Improvements

Test prompt, model, and architecture changes with confidence. Compare performance across versions to ship improvements.

See your agent’s recurring failures with patterns

Turn agent debugging into systematic improvement. Automatically surface error patterns that impact your users most, so you can focus on the issues that make a difference.

See how patterns work

Gain a granular understanding with traces

Review agent runs that have been summarized into clean, readable narratives. Understand the specific errors your agent makes by zooming into step-level annotations.

Start tracing your agent

Example of a suggested fix from a pattern detected by Atla

Apply suggestions to improve your agent

Turn insights into shipped code. Get specific, actionable improvements that address critical error patterns, which degrade user experience.

See how suggestions work

Compare changes and ship with confidence

Deploy with confidence across your success metrics. Compare changes side-by-side to ensure improvements enhance user experience without introducing new issues.

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