What Confident AI does
Confident AI is the commercial company behind DeepEval, the open-source LLM evaluation framework that has become one of the most widely adopted ways to unit-test LLM applications. DeepEval works like Pytest but for AI: developers write test cases using metrics like answer relevancy, faithfulness, hallucination, bias, summarization quality, and G-Eval (LLM-as-judge), and run them in CI/CD pipelines or production. The library has more than 12,600 GitHub stars and over 3 million monthly downloads.
Confident AI's hosted platform extends DeepEval with dataset management, regression dashboards, online and offline evaluation, prompt versioning, LLM tracing, red-teaming, and guardrails for production deployments. Together, the open-source library and managed platform give AI teams a single end-to-end workflow for evaluating, monitoring, and continuously improving LLM applications — from prototype to enterprise scale.
Who it's for
Confident AI targets AI engineers and ML platform teams building production LLM applications who need rigorous, reproducible evaluation. Its sweet spot is teams shipping RAG, agents, and chatbots that need to catch regressions before they reach users, and enterprises in regulated industries that need auditable AI quality.
Pricing
DeepEval is free and open-source under Apache 2.0. Confident AI offers a free starter tier on its hosted platform, paid team plans, and an enterprise tier with SSO, on-prem options, and dedicated support.
Team & funding
Confident AI was founded in 2024 by Jeffrey Ip (CEO) and Kritin Vongthongsri (CTO). Jeffrey previously scaled YouTube's creator studio infrastructure at Google and built document recommenders for Office 365 at Microsoft. Kritin is an AI researcher with experience in NLP for fintech and self-driving research at Princeton. The company was accepted into Y Combinator and raised a $2M seed round in March 2025 to expand the team and accelerate platform development.
Position vs competitors
Confident AI competes with Braintrust, LangSmith (LangChain), Galileo, Arize, Patronus, and HumanLoop. Its differentiation is the open-source DeepEval foundation, which means teams can adopt the eval library for free, build internal trust, and graduate to the hosted platform when they need production-grade monitoring.