Atla enables developers to identify and resolve their agent's critical failures in a matter of hours. It reduces the time spent on manual trace reviews by utilizing Atla’s LLM judge, which evaluates agents step-by-step, identifies error patterns across runs, and provides specific fix suggestions. This ensures developers know exactly what needs fixing and why. Atla is compatible with popular agent frameworks such as LangChain, CrewAI, and OpenAI Agents. It offers real-time monitoring, automated error detection, and prompt experimentation, providing teams with the necessary visibility and control to confidently deploy effective agentic systems. Atla's expertise in evaluations is demonstrated through its purpose-built LLM Judges, Selene and Selene Mini, which are available as open-source tools and have been downloaded over 60,000 times.