Simon Kohl
@saakohl
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Founder at Latent Labs.
Joined December 2016
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: https://t.co/NamdznPWjL Blog: https://t.co/2UkYDEe8a9 Technical report: https://t.co/0m2s3y7vwN
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Some excellent points here, which I always felt applied to why AlphaFold generalizes so well. AF2 is so accurate on unseen proteins because it's trained to decode the MSA - which acts like a lossy 'memory' of the structure. Its architecture pre-bakes geometric principles that
My pleasure to come on Dwarkesh last week, I thought the questions and conversation were really good. I re-watched the pod just now too. First of all, yes I know, and I'm sorry that I speak so fast :). It's to my detriment because sometimes my speaking thread out-executes my
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Honoured to join Prime Minister @Keir_Starmer and Secretary of State for Business and Trade @peterkyle on the UK's business visit to India this week. My first trip to India, and what a visit! Proud to join the delegation, traveling alongside Britain’s leading companies to
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Last night @nvidia CEO Jensen Huang announced $2B of investments in UK AI start-ups, including in @Latent_Labs. Not the only ace up his sleeve, Jensen also had Prime Minister @Keir_Starmer join on stage for the occasion. Pinched myself this morning, but it did happen, caught
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Honored to have been nominated 35th in the @observer's A.I. Power Index 2025 of 100! Truly humbling to be part of this star-studded list. @demishassabis, @DarioAmodei, @JeffDean, @matistanis - all folks that I have admired (and now had the privilege to work with) in ML and
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Our very own @SeBayesian and @SimMat20 will present at In Silico, London, on 1 October. We'll be speaking about Latent-X, our Atom-level Frontier Model for De Novo Protein Binder Design. Also featuring @amyxlu and @DominiqueLaLo, we're looking forward to it! Register for In
luma.com
Recent advancements in computation are transforming the biomolecular sciences - from fine simulations of molecular structure and drug discovery, to…
In Silico is back for round #002. Come see great talks on the future of protein and molecular design from @amyxlu @SimMat20 @SeBayesian and @DominiqueLaLo. October 1st 6pm at @IDEALondon
https://t.co/a1XsCKhamO
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Really cool to see @nanome_inc review Latent-X in their VR environment! 💻🧬 They pick an unseen target, and find the @Latent_Labs platform generates diverse binders with highly specific biochemical interactions! 💯 Watch their discussion of the designs here:
lnkd.in
This link will take you to a page that’s not on LinkedIn
Beta sheet barrel or alpha helix coil—which binder would you trust? We tested Latent Labs’ designs in Nanome VR. See the full exploration on YouTube.
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We work with AWS to enable our partners with our frontier AI models. Right where they need them, whether that’s in our platform or deployed in their virtual private containers. Our platform let’s our users generate protein binders at the push of a button. In a free tier, open to
🧬@Latent_Labs has a vision of “computational mastery of biology,” using #AWS solutions & #generativeAI to make the science “programmable.” Discover how: 👉 https://t.co/UfzqTWH3IC
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It's been great to talk to @TomMackenzieTV of @Bloomberg News about the launch of our protein design model and platform this morning!
Latent-X has been available for a little over two weeks, and we couldn't be more excited about the science that is already being done with it on our platform. Our CEO @saakohl joined @Bloomberg News Daybreak Europe this morning to talk about why we're building it, and the impact
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In this week's #RadicalReads, @saakohl, Founder and CEO of @Latent_Labs, explores how the recently launched Latent-X model is making biology programmable by enabling scientists to design novel proteins with atomic precision directly in their browser:
radical.vc
Radical portfolio company Latent Labs has launched Latent-X, a web-accessible AI model that enables scientists to design novel proteins.
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Thank you @decodingbio for covering our launch and reviewing our platform on binder design tasks! The authors concluded: 'Latent Lab’s new platform speaks for itself.' Read the full review article here:
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Showcasing Latent-X's breakthrough macrocycle designs. Our AI achieved an unprecedented 91-100% hit rate with single-digit micromolar binding affinities—functional binders on every single target tested. Explore our binders without logging in: https://t.co/y3rt7xJ9AP
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It's been a fantastic first few days of public usage of the Latent Platform! The team has been providing white glove user support - for feedback or requests, you can reach us through our feedback channels: https://t.co/zmz4fnXas1 Also, check out our sharing feature below: You
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The first 3 days have been incredible. The response from our research community has been phenomenal. Many hundreds of users, tens of thousands of designs and amazing feedback flowing in.
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🧬 Latent-X is our first frontier model for protein design. For mini-binders, our AI model achieved picomolar binding affinities — the strongest reported vs prior methods in head-to-head lab validation. Explore our best binders here (no login required): https://t.co/foSS9ICdyX
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‘Latent Labs launches web-based AI model to democratize protein design.’ Thank you @TechCrunch and @MTemkin for the coverage. Read the full story:
techcrunch.com
The company claims that its model achieved state of the art on specific metrics.
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It is amazing that bench scientists are being given superpowers through computational tools like Latent-X! Huge congrats to the team!!
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: https://t.co/NamdznPWjL Blog: https://t.co/2UkYDEe8a9 Technical report: https://t.co/0m2s3y7vwN
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Radical portfolio company @Latent_Labs unveils Latent-X, their frontier AI model. Co-founded by AlphaFold pioneer @saakohl, Latent Labs is making biology "programmable" to accelerate drug discovery. Learn more about Latent-X here:
latentlabs.com
5 months from funding to shipping our first frontier model. Latent-X achieves state-of-the-art hit rates for macrocycles and mini-binders, with picomolar binding affinities — a breakthrough in de novo protein binder design. Available now on our no-code platform!
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I love the trend of companies publishing technical reports / blogs instead of spending a year+ in peer review publishing detention - get your research OUT THERE!!!! v excited to read
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: https://t.co/NamdznPWjL Blog: https://t.co/2UkYDEe8a9 Technical report: https://t.co/0m2s3y7vwN
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🚀 Big milestone — impressive science and great to see it made so accessible. Congrats to the @Latent_Labs team!
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: https://t.co/NamdznPWjL Blog: https://t.co/2UkYDEe8a9 Technical report: https://t.co/0m2s3y7vwN
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