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The LLM Eval and Observability Platform for AI Quality
Confident AI allows companies of all sizes to benchmark, safeguard, and improve LLM applications, with best-in-class metrics and guardrails powered by DeepEval. Built by the creators of DeepEval (12.6k stars, >3m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their LLM systems.
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).
An evaluation platform for engineers, QAs, and PMs to pinpoint which iteration of their AI to put in production.
Confident AI is a cloud-based evaluation platform for engineering teams to iterate LLM apps by using DeepEval’s deterministic, use-case-specific metrics; it enables collaboration on pre- and post-deployment evals, benchmarks, and reporting. The launch highlights integration with the DeepEval framework, collaboration features, and case-study ROI potential.
Independent AI evaluations lab
Reliability platform for AI agents
