OpenAI leads $15M investment in AI biosecurity startup
Expanding OpenAI's Safety Portfolio
The investment builds on OpenAI's October backing of Valthos, a New York-based biosecurity software company that raised $30 million. Jason Kwon, OpenAI's chief strategy officer, said the company remains open to supporting additional startups addressing similar risks. "We want to increase the overall resilience of the overall ecosystem," Kwon told Reuters. "One of the best ways you can deal with the risk mitigation is more technology".
The funding round also drew participation from Cerberus Ventures, Fifty Years, and Halcyon Futures. As part of the transaction, OpenAI CEO Sam Altman and board member Nicole Seligman will receive shares in Red Queen Bio due to their prior investments in Helix Nano, though neither participated in approving the deal. OpenAI's chief compliance officer and unconflicted board members reviewed and authorized the investment.
Racing Against AI-Enabled Threats
Red Queen Bio takes its name from Lewis Carroll's "Through the Looking-Glass," referencing the constant evolutionary race between biological threats and defensive capabilities. The startup's founders observed during collaboration with OpenAI that frontier AI models demonstrated remarkable biological creativity, with potential applications for breakthrough therapies—but also darker possibilities.
Safety experts warn that AI systems capable of accelerating drug discovery could also lower barriers for malicious actors seeking to engineer dangerous pathogens. Recent research has exposed vulnerabilities in synthetic protein screening processes, and multiple AI labs have raised concerns about models approaching or exceeding critical security thresholds for providing bioweapons development information.
Red Queen Bio plans to map AI-enabled biological threats and pre-build medical countermeasures using leading AI models, lab automation, and reinforcement learning. The company, structured as a Public Benefit Corporation, has committed to working with all AI labs, biopharmaceutical firms, and governments.
