Startup Lila Sciences Raises $235M, Valued at $1.23B, Aims to Speed Up Scientific Discovery
PorAinvest
lunes, 15 de septiembre de 2025, 5:13 pm ET1 min de lectura
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Lila Sciences leverages artificial intelligence to accelerate drug discovery and materials development. The startup's innovative platform, described as the world's first "scientific superintelligence," integrates advanced AI models with fully autonomous robotic labs. This system enables the platform to hypothesize, experiment, and iterate on scientific discoveries at a scale and speed unattainable by human researchers alone [1].
The company's ambitions extend beyond pharmaceuticals to areas like sustainable materials, aiming to address climate challenges through AI-optimized innovations. Lila Sciences was founded earlier this year with a $200 million seed round from biotech incubator Flagship Pioneering and is led by CEO Geoffrey von Maltzahn, a veteran of Flagship Pioneering [1].
The Series A funding will fuel Lila Sciences' expansion, including scaling its autonomous labs and hiring top talent in AI and robotics. The startup's seed funding already positioned it to develop AI that powers self-running research facilities, potentially yielding breakthroughs in areas like personalized medicine and eco-friendly materials [1].
Lila Sciences operates in a competitive field, with other startups like Insitro and Recursion Pharmaceuticals also harnessing AI for drug discovery. The company must navigate regulatory hurdles and ethical concerns around AI in science, such as data bias and over-reliance on automation, while emphasizing human oversight in its models [1].
With this latest funding, Lila Sciences stands poised to invest heavily in computational infrastructure, potentially partnering with chipmakers to handle the immense data processing demands. The broader implications of Lila Sciences' trajectory extend to economic growth in AI-biotech hubs like Boston, where the company is based. The startup exemplifies the venture world's appetite for high-risk, high-reward bets [1].
As details of the full Series A emerge, Lila Sciences could push the total raise to $300 million or more, per Endpoints News sources. Investors and insiders will watch closely as Lila Sciences deploys this capital, potentially unveiling prototypes or partnerships in the coming months that could validate its ambitious vision [1].
Lila Sciences has raised a $235 million Series A round, valuing the company at over $1.23 billion. CEO Geoff von Maltzahn aims to speed up scientific discovery across multiple fields. The startup aims to create "scientific superintelligence" to accelerate research and innovation in various disciplines.
Lila Sciences, a Cambridge, Massachusetts-based startup, has raised a $235 million Series A round, bringing its valuation to over $1.23 billion. The funding round, announced on Saturday, was led by prominent investors including Collective Global and Braidwell LP [1]. This significant infusion of capital positions Lila Sciences as a key player in the AI-driven biotechnology sector.Lila Sciences leverages artificial intelligence to accelerate drug discovery and materials development. The startup's innovative platform, described as the world's first "scientific superintelligence," integrates advanced AI models with fully autonomous robotic labs. This system enables the platform to hypothesize, experiment, and iterate on scientific discoveries at a scale and speed unattainable by human researchers alone [1].
The company's ambitions extend beyond pharmaceuticals to areas like sustainable materials, aiming to address climate challenges through AI-optimized innovations. Lila Sciences was founded earlier this year with a $200 million seed round from biotech incubator Flagship Pioneering and is led by CEO Geoffrey von Maltzahn, a veteran of Flagship Pioneering [1].
The Series A funding will fuel Lila Sciences' expansion, including scaling its autonomous labs and hiring top talent in AI and robotics. The startup's seed funding already positioned it to develop AI that powers self-running research facilities, potentially yielding breakthroughs in areas like personalized medicine and eco-friendly materials [1].
Lila Sciences operates in a competitive field, with other startups like Insitro and Recursion Pharmaceuticals also harnessing AI for drug discovery. The company must navigate regulatory hurdles and ethical concerns around AI in science, such as data bias and over-reliance on automation, while emphasizing human oversight in its models [1].
With this latest funding, Lila Sciences stands poised to invest heavily in computational infrastructure, potentially partnering with chipmakers to handle the immense data processing demands. The broader implications of Lila Sciences' trajectory extend to economic growth in AI-biotech hubs like Boston, where the company is based. The startup exemplifies the venture world's appetite for high-risk, high-reward bets [1].
As details of the full Series A emerge, Lila Sciences could push the total raise to $300 million or more, per Endpoints News sources. Investors and insiders will watch closely as Lila Sciences deploys this capital, potentially unveiling prototypes or partnerships in the coming months that could validate its ambitious vision [1].

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