Lila Sciences Secures Additional $115M in Series A Funding, Bringing Total to $350M

Flagship Pioneering's Lila Sciences has significantly expanded its Series A funding round, adding $115 million to bring the total raised to $350 million. This latest influx of capital includes backing from Nvidia's venture arm, NVentures, further solidifying Lila's position at the intersection of artificial intelligence and biotechnology.
AI Titan Nvidia Joins Impressive Investor Lineup
The extension of Lila's Series A round has attracted a diverse group of high-profile investors. Alongside Nvidia, new backers include Analog Devices, IQT, Dauntless Ventures, Catalio Capital Management, Pennant Investors, and members of Peter Diamandis' Abundance Membership. This impressive roster joins existing investors Braidwell and Collective Global, who led the initial $235 million tranche announced last month.
Geoffrey von Maltzahn, Ph.D., co-founder and CEO of Lila Sciences, emphasized the strategic value of these new partnerships. "Our new investors bring technical collaborations to accelerate our global growth plans, conviction in Lila's role in national security and U.S. resilience from materials discovery touching computing, energy and infrastructure, and deep appreciation of the hardest problems in healthcare, therapeutics, diagnostics and longevity," von Maltzahn stated in a blog post.
Advancing "Scientific Superintelligence" with Automated Labs
Lila Sciences, which debuted in March with an initial $200 million raise, has now amassed over half a billion dollars in total funding. This substantial financial backing will fuel the company's ambitious mission to revolutionize scientific research through AI and robotic laboratories.
The newly secured funds will be allocated across four core areas:
- Enhancing "superhuman scientific performance"
- Expanding automated "AI science factories"
- Onboarding the company's first customers
- Recruiting top talent described as "the world's most brilliant minds"
Von Maltzahn previously revealed plans to construct new AI science factories in Boston, London, and San Francisco. These facilities are designed to autonomously "generate hypotheses, design experiments, run them, learn from the results and iterate," essentially performing the scientific method without human intervention.
Bold Claims and Future Prospects
Lila Sciences has made several ambitious claims about its technological achievements, including the development of large language models with advanced scientific reasoning capabilities, genetic medicine constructs that reportedly outperform existing market offerings, and the creation of hundreds of new antibodies, peptides, and binders targeting various therapeutic applications.
While these claims have yet to be publicly substantiated with released data, the significant investor interest and financial backing suggest a high level of confidence in Lila's potential to transform biotech R&D processes.
As Lila Sciences continues to expand its operations and capabilities, the pharmaceutical industry will be watching closely to see if the company's "scientific superintelligence" approach can deliver on its promise to accelerate drug discovery and development.
References
- Lila Sciences adds Nvidia-backed $115M to series A, bringing total haul to $350M
Flagship Pioneering’s Lila Sciences has had little trouble finding supporters for its “scientific superintelligence” mission since its March debut. After closing a $235 million series A last month, Lila has now expanded the round with an additional $115 million, including funds from the venture arm of AI titan Nvidia.
Explore Further
What are the qualifications and key achievements of Lila Sciences' executive team, particularly Geoffrey von Maltzahn?
What specific technologies or innovations set Lila Sciences' AI science factories apart from competitors in biotech R&D?
What is the projected market size and commercial potential for Lila Sciences’ genetic medicine constructs and AI-driven therapeutic advancements?
Who are the direct competitors of Lila Sciences within the biotech and AI-driven research space, and how does their funding compare?
What measurable milestones or data will investors likely expect from Lila Sciences to verify their claims and technology efficacy?