Patronus AI grabs $50M in funding to stress-test AI agents in simulated environments
Fast-growing world model startup Patronus AI Inc. is priming itself for even more rapid growth after raising $50 million in Series B funding today.
The round was led by Greenfield Partners and saw the participation of Lightspeed Venture Partners, Notable Capital, Datadog and Samsung Ventures, and brings the company’s total amount raised to date to $70 million.
Patronus AI was founded by former Meta Platforms Inc. artificial intelligence researchers Anand Kannappan and Rebecca Qian, who are on a mission to ensure that autonomous agents can be put to work reliably. They’re building the infrastructure to enable comprehensive AI agent training, so that other researchers can enhance the performance and reliability of AI systems spanning applications from financial trading to healthcare diagnostics and drone automation.
The startup has enjoyed strong growth over the last year as AI systems become more sophisticated and capable. These days, AI doesn’t just answer people’s questions, but autonomously executes complex, multistep tasks on their behalf, such as booking tables at restaurants, buying and selling stocks at predetermined prices and more. However, autonomy can be risky, and before any AI agent is trusted to conduct such activities, there’s a need to ensure that it will do the job as expected, without causing any problems or getting things wrong. This is where Patronus AI comes in.
