Atla

Atla provides a comprehensive improvement engine designed to accelerate the development and refinement of AI agents. By significantly reducing the time spent on manual trace reviews, Atla enables developers to identify and resolve critical failures within hours instead of days.

Atla leverages an LLM judge to meticulously evaluate each step of an agent's operation, uncovering recurring error patterns across multiple runs. This analysis provides actionable insights and suggests specific fixes, empowering developers with a clear understanding of what needs to be addressed and why.

Supporting leading agent frameworks like LangChain, CrewAI, and OpenAI Agents, Atla offers real-time monitoring, automated error detection, and prompt experimentation capabilities. This robust feature set provides teams with the visibility and control necessary to confidently deploy reliable and effective agentic systems. The Atla team comprises experienced researchers, engineers, entrepreneurs, and operational leaders with deep expertise in evals, honed through the development of their open-source LLM Judges, Selene and Selene Mini, which have garnered over 60,000 downloads.