Solve all disease. Developing and applying frontier AI to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.
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Today marks a pivotal moment for Isomorphic Labs. We have secured $2.1 Billion in our second external funding round, led by Thrive Capital. They are joined at the table by Alphabet, GV and new investors MGX, Temasek, CapitalG and the UK Sovereign AI Fund.
This milestone accelerates our ability to build the pioneering novel AI models that power our AI drug design engine (IsoDDE) and deploy them at scale: delivering scientific breakthroughs with a precision previously thought impossible, accelerating and expanding our pipeline of therapeutic programs toward the clinic. All with the ultimate goal of delivering life-changing new medicines to patients.
Moving forward, we will scale our drug candidate pipelines across multiple therapeutic areas, expand our global footprint, and push the boundaries of frontier AI research to power our drug design engine.
Deeply grateful to everyone sharing our vision to solve all disease with AI. Let’s build the future of medicine.
Read the full announcement here: bit.ly/4v2OI03
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From small molecules to complex biologics, the universe of potential medicines spanning multiple modalities is astronomically vast.
To put it in perspective: conservative estimates place the vast chemical search space for small, drug-like molecules near 10^60. The observable universe contains fewer stars – somewhere between 10^22 and 10^24. The answers to drug discovery’s toughest challenges exist within this vast space. And now, our drug design engine (IsoDDE) gives us the capability to navigate it.
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Drug discovery is incredibly complex, but you don't need a background in biology to help solve it.
Hear from software engineer, Bartosz Bacewisz, on how transferable skills in tech and a shared motivation are helping us build frontier AI models to reimagine medicine.
bit.ly/424SMjZ
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The prediction: 5 years for the industry to realise AI is essential in drug design and development – @maxjaderberg.
While this episode aired a year ago, we’ve been building for almost 5 years already, and have always held the conviction that our AI will redefine how new medicines are made.
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Hear from John Strafford from Iso Business Development, on how combining Isomorphic Labs' capabilities with industry-leading partners sets us all up for success.
bit.ly/3RZJmor
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Dr. Jennifer Doudna co-invented CRISPR and won the Nobel Prize for it. She also sits on our Scientific Advisory Board.
Jennifer recently spent the day with us, hosted by our Chief Research Officer, Sarah Skerratt. Moments like these sharpen our focus as we work towards building the future of medicine.
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The heritage we were built on. Our Founder & CEO on cracking the code.
“Timing is very important. You need to pick hard problems to solve and be ambitious with them.”
Demis Hassabis discussed how his aspirations as a young gaming programmer were ahead of their time.
Watch our official interview: bit.ly/4jKV3Hh
ALT Demis Hassabis wears glasses, a dark suit, and blue tie, standing confidently against a dark blue background. Photo: Clément Morin.
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Recognise this from our ICML talk?
Moore’s Law: Compute keeps getting cheaper. Eroom’s Law is the opposite - drug discovery keeps getting more expensive. At Iso, we’re using AI to change how drug design works - faster discovery timelines, and potential treatments reaching patients sooner.
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"At ICML, Agnieszka Podsiadło and I are sharing some of what we're building at Isomorphic Labs: Methods that can generalise drug discovery - finding new biology, at scale and across pretty much every therapeutic modality. That last part matters to me most - it's how you get to a place where no patient is left behind." - Andreas Loukas, AI research scientist.
If you're in Seoul this week, come say hi to Andreas - @loukasa_tweet and the rest of our delegation at ICML.
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Heading to @icmlconf? Isomorphic Labs’ hiring managers will be in Seoul from July 6–11 meeting with ML Engineers, ML Research Engineers and ML Research Scientists.
If you're ready to build frontier AI to tackle some of the biggest challenges in science, check the comments to meet our team.
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The future of drug design relies on exceptional chemistry.
Heading to #EWOC Europe? The Isomorphic Labs team will be onsite and we're eager to meet with talented chemists and researchers. If you're interested in working at the intersection of frontier AI and chemistry to tackle some of the biggest challenges in science, come and talk to us about our open roles.
Register your interest in meeting up below!
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"If you are keen to learn new stuff, you can come here and learn the most important things about the domain itself, on the job…"
Kuba Perlin, ML Staff Research Engineer, shares his insights into Iso's unique approach and explains why a formal science background isn't essential.
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How do you design a molecule for a site you can't see? Eliza Strickland of @IEEESpectrum dives into our team’s efforts to predict ‘hidden’ binding sites and progress in structure prediction.
Read the article below:
Can AI move beyond predicting protein structures and start helping scientists discover entirely new ways to target disease? @IsomorphicLabs thinks so. spectrum.ieee.org/isomorphic…
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Curious to learn more about Isomorphic Labs? @maxjaderberg spoke to @CNBC during @LDNTechWeek about our approach to AI-driven drug discovery.
Watch the full interview below:
cnbc.com/video/2026/06/09/is…
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We’re heading to @icmlconf in Seoul from July 6–11, to meet exceptional Machine Learning Engineers, ML Research Engineers and ML Research Scientists at all levels.
If you want to solve problems that have a tangible impact on human health alongside a brilliant team, we would really like to meet you.
Check the comments for the link to meet us in person👇
See you in Seoul! #ICML2026
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Our Chief Scientific Officer @MilesCcc will be speaking at Pharmacology Futures in Edinburgh next week. He’ll talk about how our AI drug design engine (IsoDDE) can determine protein structure and potential drug candidates with a level of precision that was once unthinkable.
Full agenda in the comments.
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