Atla develops AI evaluators trained to test and assess generative AI applications. Our models help developers find AI mistakes at scale and build reliable GenAI applications.

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Why evals?

LLMs only reach their full potential when they consistently produce safe and useful results. With a few lines of code, you can catch mistakes, monitor your AI’s performance, and understand critical failure modes to fix them.

If you are building generative AI, creating high-quality evals is one of the most impactful things you can do. Without evals, it can be very difficult and time-intensive to understand how different prompts and model versions might affect your use case.

In the words of OpenAI’s president Greg Brockman:

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How it works

Atla supports evaluations for a wide range of generative AI applications, including chat, RAG, agents, and content generation. You can use our models to evaluate your performance — whether you’re building on OpenAI, Anthropic, Mistral, Meta, or your own LLM.