Distributional

Distributional is an AI agent analytics platform that turns raw trace data into actionable behavioral insights. As AI products scale in production, teams lose visibility into how their models and agents behave across diverse real-world usage. Distributional enriches production logs with statistical metrics and LLM-as-judge evaluations, then runs unsupervised analysis — including clustering, anomaly detection, topic modeling, and change detection — to surface daily insights and deviations. The platform is freely available and deployable to any VPC, with enterprise controls for authentication, access management, and data privacy. It integrates with any LLM provider or observability framework via OTEL, SQL, or SDK. Founded in 2023 by Scott Clark (former GM of AI Software at Intel and founder of SigOpt) and a team of veterans from SigOpt and major tech companies.