TLDR:
- Patronus AI, a provider of an automated evaluation and security platform, raised $17M in Series A funding.
- The funding round was led by Glenn Solomon at Notable Capital with participation from other investors.
Patronus AI, based in San Francisco, CA, secured $17M in Series A funding, bringing the total amount raised to $20M. Led by Glenn Solomon at Notable Capital, the funding round also included participation from Lightspeed Venture Partners, Datadog, Gokul Rajaram, Factorial Capital, and software and AI executives. The company plans to use the funds to expand its AI research, engineering, and sales teams, further develop its automated evaluation and security platform, train evaluation models, and establish new industry standard benchmarks.
Founded by Anand Kannappan and Rebecca Qian, Patronus AI’s platform allows companies to detect large language model (LLM) mistakes at scale. By leveraging proprietary AI technology, the platform enables enterprise development teams to assess model performance, generate adversarial test cases, benchmark models, and more. The platform aims to automate and scale manual model evaluation methods in use in enterprises today, helping organizations deploy LLMs while reducing the risk of model failures and misaligned outputs.
