Atla

Atla

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Atla is an AI improvement engine that helps developers automatically identify, understand, and fix agent failures through real-time monitoring, pattern detection, and targeted solutions.
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Atla

Product Information

Updated:Sep 26, 2025

Atla Monthly Traffic Trends

Atla received 13.6k visits last month, demonstrating a Slight Decline of -14.8%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
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What is Atla

Founded in 2023 by Maurice Burger and Roman Engeler, Atla is a Y Combinator-backed AI safety startup based in London that focuses on making AI agents more reliable and interpretable. The company has raised $5M in seed funding led by Creandum and is supported by founders from Reddit, Cruise, Rappi, and Instacart. Atla's core mission is to establish secure AI systems for high-stakes applications, addressing the critical challenge of making AI agents more dependable and transparent in their operations.

Key Features of Atla

Atla is an AI agent improvement platform that helps developers identify, analyze, and fix failures in AI systems. It automatically detects failure patterns, provides step-level error analysis, suggests targeted fixes, and enables performance comparison across versions. The platform integrates with existing monitoring tools and popular agent frameworks like LangChain and CrewAI to provide comprehensive visibility and control over AI agent behavior.
Automated Pattern Detection: Automatically clusters and ranks similar failures across thousands of interactions to identify recurring error patterns and prioritize critical issues
Granular Trace Analysis: Provides detailed step-by-step analysis of agent runs with clean, readable narratives and annotations for understanding specific errors
Actionable Improvement Suggestions: Generates specific, actionable recommendations to fix identified error patterns and improve agent performance
Version Comparison: Enables side-by-side comparison of changes to ensure improvements enhance user experience without introducing new issues

Use Cases of Atla

Customer Support Automation: Monitor and improve AI chatbots handling customer inquiries by identifying common failure patterns and enhancing response accuracy
Development Tools: Optimize AI-powered development assistants by tracking their performance and fixing recurring errors in code generation or analysis
Research Assistance: Enhance AI research assistants by identifying and correcting patterns of misinformation or analytical errors

Pros

Quick integration with existing tools and frameworks
Automated error pattern detection saves manual review time
Provides actionable insights rather than just raw data

Cons

Requires existing logging/tracing setup
May add additional complexity to the development stack

How to Use Atla

Sign up and get API key: Create an account on Atla's website and retrieve your API key from your dashboard
Install Atla package: Install the Atla Python library using pip for Python 3.8+ applications
Set up environment: Add your API key to a .env file with ATLA_API_KEY='Your API Key' to keep it secure
Initialize Atla client: Import and create an Atla client instance in your code: from atla import Atla; client = Atla()
Integrate with your agent: Add Atla monitoring to your existing agent code to track interactions, tool calls, and outputs
Review traces: Use the Atla dashboard to review agent runs that have been summarized into readable narratives with step-level annotations
Analyze patterns: Let Atla automatically cluster and identify recurring failure patterns across your agent interactions
Implement fixes: Review Atla's suggested fixes for critical error patterns and implement improvements to your agent
Compare changes: Use Atla's comparison tools to validate that your changes improve performance without introducing new issues
Monitor continuously: Keep tracking your agent's performance in production to catch new issues and maintain reliability

Atla FAQs

Atla is an improvement engine for AI agents founded in 2023. It helps teams automatically find, understand, and fix their agents' most critical failures by surfacing recurring failure patterns, suggesting fixes, and measuring improvements.

Atla Video

Analytics of Atla Website

Atla Traffic & Rankings
13.6K
Monthly Visits
#1547132
Global Rank
#4639
Category Rank
Traffic Trends: Feb 2025-Jun 2025
Atla User Insights
00:00:19
Avg. Visit Duration
2.14
Pages Per Visit
38.54%
User Bounce Rate
Top Regions of Atla

  1. IN: 18.4%

  2. GB: 16.52%

  3. US: 14.61%

  4. DE: 13.6%

  5. CA: 5.78%

  6. Others: 31.09%