Patronus AI Raises $17M in Series A Funding to Enhance Automated Evaluation and Security for Large Language Models
Patronus AI is committed to advancing the reliability and security of AI applications in enterprise settings.
Company Name: Patronus AI
Location: San Francisco, CA
Sector: AI Security, Software
Funding Details: Raised $17M in Series A funding, bringing the total funding to $20M. The round was led by Glenn Solomon at Notable Capital, with participation from Lightspeed Venture Partners, Datadog, Gokul Rajaram, Factorial Capital, and leading software and AI executives.
Purpose of Investment: To scale its AI research, engineering, and sales teams, train evaluation models, and develop new industry standard benchmarks.
Leadership: Founded by Anand Kannappan and Rebecca Qian.
Product: Patronus AI offers an automated evaluation and security platform designed to help companies detect and manage errors in large language models (LLMs) at scale. The platform provides tools for scoring model performance, generating adversarial test cases, and benchmarking models, automating the traditionally manual methods of model evaluation used in enterprises.
About Company: Patronus AI is committed to advancing the reliability and security of AI applications in enterprise settings. Its proprietary technology allows development teams to deploy LLMs confidently, minimizing risks associated with model failures and misaligned outputs.