Patronus AI Raises $50 Million and Introduces Digital World Models for AI Agent Training

Patronus AI has raised $50 million in Series B funding and introduced its Digital World Models, announced in a press release. The round was led by Greenfield Partners with participation from existing investors including Notable Capital, Lightspeed Venture Partners, Datadog, Samsung, and Factorial Capital. The new funding brings the company’s total capital raised to $70 million.

The Digital World Models are large simulation environments designed to help AI agents train, evaluate, and improve across complex digital workflows. The systems generate dynamic environments where AI agents can practice tasks such as managing customer escalations, navigating enterprise software, or debugging infrastructure, moving beyond static benchmarks.

Patronus AI develops simulation infrastructure that enables AI systems to operate in realistic digital conditions. The company’s research focuses on generating environments that allow agents to encounter edge cases, recover from errors, and improve through repeated interaction. It aims to address scalable oversight by creating simulations where AI systems can be tested and supervised before deployment.

The company plans to use the new funding to expand its research and engineering teams and invest in compute resources to train and operate the Digital World Models at scale. Patronus AI was founded by former Meta AI researchers Anand Kannappan and Rebecca Qian.