Evidently

Evidently AI provides a platform for evaluating and observing AI systems, particularly focusing on Large Language Models (LLMs) and traditional machine learning models. It helps users ensure their AI is safe, reliable, and production-ready by offering automated evaluation of output accuracy, safety, and quality, along with continuous testing capabilities. The platform is built on the open-source Evidently framework, providing transparency and extensibility with over 100 built-in metrics. The platform is designed for AI product teams, MLOps engineers, and data scientists who need to rigorously test their AI models. It addresses common AI failure modes like hallucinations, edge cases, data leaks, and risky outputs. Key functionalities include generating synthetic data for testing, adversarial testing, RAG evaluation, and validating multi-step AI agents. Evidently AI also offers advisory services, training, and masterclasses to help teams establish robust LLM evaluation workflows and manage AI risks. Evidently AI's core value lies in enabling proactive identification and resolution of AI performance issues. By providing detailed reports, live dashboards, and customizable evaluation metrics, it helps teams catch drift, regressions, and emerging risks early in the development and deployment lifecycle, ultimately leading to more trustworthy and high-performing AI applications.