The LLM Eval and Observability Platform for AI Quality
Teams building LLM applications struggle to reliably evaluate, monitor, and safeguard model quality in production.
An LLM evaluation and observability platform that benchmarks, monitors, and applies guardrails using DeepEval-powered metrics and infrastructure.
Developers and AI/ML teams at companies of all sizes building and operating LLM-powered applications.
Creator of DeepEval, the open-source LLM evaluation framework. and grew it to over 400k monthly downloads and counting. Previously SWE @ Google, Microsoft.
Building the #1 LLM Evaluation Platform & empowering teams to red-team and safeguard LLM apps. AI Researcher and CHI-published author, previously built NLP pipelines for fintech startup and researched self-driving cars/HCI during @ Princeton (ORFE'24 + CS).


