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Lila Sciences, a company developing an AI-enabled scientific superintelligence computer, closed a $350 million Series A round, bringing its total capital raise to $550 million in less than a year.
The Series A closed in two parts, with the company garnering $235 million in September, co-led by Braidwell and Collective Global.
With the announcement of the Series A closing, the company disclosed the support of NVentures (NVIDIA’s venture capital arm), Analog Devices, IQT, Dauntless Ventures, Catalio Capital Management, Pennant Investors, a group of investors from the Peter Diamandis’ Abundance Membership and other new stakeholders.
Existing investors participated in the Series A, including Flagship Pioneering (where Lila originated), General Catalyst, Alumni Ventures, Modi Ventures, ARK Venture Fund, Altitude Life Science Ventures, Common Metal, Dara Holdings, March Capital, the Mathers Foundation, NGS Super, the State of Michigan Retirement System, a wholly owned subsidiary of Abu Dhabi Investment Authority and other individual investors.
WHAT IT DOES
Lila Sciences develops an AI-powered scientific superintelligence platform, paired with autonomous labs, that runs the entire scientific method.
The company's supercomputer evaluates how various aspects of science, biology, microbiology and more can interact.
The technology generates hypotheses, designs experiments and learns from results.
The Massachusetts-based company will use the funds to build out its AI Science Factories "to produce more scientific tokens via more instruments under AI control than any company on earth and drive new scaling laws for scientific intelligence."
Lila also plans to expand its customer base.
MARKET SNAPSHOT
Lila Sciences raised $200 million in seed funding in March of this year.
At the time of the company's $235 million round in September, it stated that it would use the funds to expand its workforce and establish new hubs in San Francisco, Boston and London to house and scale its teams and AI Science Factories, "where AI can conduct experiments at scale."
