OpenAI Leads $15M Seed Round for Biosecurity Startup Red Queen Bio
Reuters reports that OpenAI has led a $15 million seed investment in Red Queen Bio, a startup focused on preventing the misuse of artificial intelligence in developing biological weapons. The company combines AI models with laboratory research to identify and counter emerging biosecurity risks.
Red Queen Bio was spun out of Helix Nano, an mRNA therapeutics company that has collaborated with OpenAI on assessing AI-related biological risks. The startup’s co-founder Hannu Rajaniemi said the goal is to ensure AI defenses evolve as quickly as potential threats.
The funding round also included contributions from Cerberus Ventures, Fifty Years, and Halcyon Futures. OpenAI stated that its chief compliance officer and unconflicted board members approved the investment, with executives holding prior stakes in Helix Nano recused from the process.
This marks OpenAI’s second recent investment in the biosecurity sector, following its participation in a funding round for Valthos, a New York-based startup developing AI-driven biosecurity software.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 16 Matters Raises $5 Million to Build AI Consumer Bank Oct 16 KP Labs raises €4.42 million for AI data processing in orbit Oct 15 Origin Raises $20 Million for Autonomous Construction Robots Oct 15 Symbe Raises $5.7 Million for AI Sales Platform Oct 15 Cohere Agrees to Acquire AI Security Startup AISLEMore from Defense
Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle Oct 15 Bridge Defense Wins Software Agreement With Up to $63 Million in Initial Capacity Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 US Air Force Extends Use of PTC Servigistics Oct 15 Ukrainian Strikes Disrupt Yandex Services Across Central AsiaLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Basecamp Research Raises $140 Million for AI Designed Therapeutics
Rein Security raises $25 million for AI agent security
OpenAI in Early Talks to Acquire Trail of Bits
Watchtower Unveils AI Biological Defense Platform
OpenAI Seeks $30 Billion at $1.4 Trillion Valuation
Daily AI Brief: the AI news that matters, in your inbox.