Find and fix AI agent failures

Automatically surface error patterns across your production traffic and test runs so you can ship the improvements that matter most.

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Clarity for the
agentic age.

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.
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Identifying Patterns

Turn your trace analysis into systematic insights. Atla automatically clusters similar failures across thousands of interactions, so you spend time investigating the right issues.

Running Experiments

Test prompt, model, and architecture changes with confidence. Compare performance across versions to ship improvements without regressions.

Find the error pattern, not just the bug

Turn agent debugging into systematic improvement.
Automatically surface systematic error patterns that impact your users most, so you can focus on improvements that actually matter.

See how patterns work

Gain a granular understanding with individual traces

Review agent runs that have been summarized into clean, readable narratives. Understand all the actions your agent takes, and zoom in on specific, step-level errors.

Start tracing your agent

Example of a suggested fix from a pattern detected by Atla

Actionable suggestions to improve your agent

Turn insights into shipped code. Get specific, actionable improvements targeting high-impact error patterns that degrade user experience.

See how suggestions work

Ship without breaking what works

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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