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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.
Start for free\
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Try our live demo
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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.
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.
Apply suggestions to improve your agent
Turn insights into shipped code. Get specific, actionable improvements that address critical error patterns, which degrade user experience.
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.
Works with the tools you already use
Plug Atla into your existing stack in minutes.
Latest from the Lab
Research and stories from the team fixing agents at scale.
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The problem with voice agents that no one’s talking about\
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Henry\
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November 13, 2025
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What works (and what doesn’t) when automating error analysis\
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Atla team\
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October 7, 2025
FAQ
What is Atla?
How is Atla different from observability platforms like Langfuse and LangSmith?
How is Atla different from error detection platforms like Raindrop?
Do I need to replace my existing observability or monitoring tools?
Why do I need Atla if I already log traces?
Who is Atla for?
How quickly can I get started?
See why your agents fail.
Install the Atla package
Track your agents
Understand errors instantly