AI quality 2

AI evaluation models to test and improve generative AI applications. Atla provides frontier AI evaluation models to evaluate generative AI, find and fix AI mistakes at scale, and build more reliable GenAI applications. It offers an LLM-as-a-Judge to test and evaluate prompts and model versions. Atla's Selene models provide precise judgments on AI app performance, running evals with accurate LLM Judges. They offer solutions optimized for speed and industry-leading accuracy, customizable to specific use cases with accurate scores and actionable critiques.

End-to-end AI evaluation and observability platform for testing and deploying AI applications. Maxim is an end-to-end AI evaluation & observability platform that helps you test and deploy AI apps with greater speed & confidence. Its developer stack includes tools for the full AI lifecycle: experimentation, pre-release testing, & post-release monitoring. It offers features like agent simulation and evaluation, prompt engineering tools, observability, and continuous quality monitoring. Maxim supports various AI frameworks and provides SDKs, CLI, and webhook support.