Patronus AI recently closed a $17M Series A funding round
Patronus AI, a platform enabling automated evaluation of large language models at scale, has raised a $17 million Series A to further its mission of providing scalable oversight as generative AI capabilities rapidly advance across industries.
Patronus AI has become an industry leader since coming out of stealth less than a year ago. Since its September 2023 launch, Patronus AI has embarked on a journey that has given rise to multiple innovations, including FinanceBench, the first standardized LLM benchmark for the financial sector, the first copyright detection API for LLMs, the Enterprise Scenarios Leaderboard on Hugging Face, and EnterprisePII, a novel evaluation suite (an API and a dataset) for business-sensitive information. As a result, the startup's product has been adopted by many Fortune 500 enterprises and leading AI companies worldwide.
Building on that remarkable success list, Patronus AI recently raised $17 million in a Series A funding round led by Notable Capital (formerly GGV Capital), with participation from Lightspeed Venture Partners and Datadog. Additionally, Patronus' funding round was backed by Gokul Rajaram, Factorial Capital, and several leading software and AI executives, such as Jonathan Frankle, Tristan Handy, Barr Moses, and Nadim Hossain. The funding will fuel Patronus AI's mission to provide scalable oversight of generative AI systems as they advance and proliferate across industries at a pace that manual evaluation cannot match. With its AI-powered platform, Patronus enables enterprises to rigorously evaluate LLMs for accuracy, hallucinations, brand alignment, data leaks, and more, with just one line of code.
The new funding will boost Patronus AI's plans for 2024 and beyond. The company's roadmap includes training state-of-the-art LLMs for evaluation, developing automated AI-powered testing features, and other tools to enable scalable human-AI collaboration.
