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: Blog: Technical report:

Latent-X achieved breakthrough lab results: Picomolar binding affinities, directly outperforming prior methods in head-to-head validation. Leading experimental hit rates: * 91-100% for macrocycles * 10-64% for mini-binders Testing 30-100 designs per target vs millions traditionally.

Latent-X generates novel binders from scratch, solving the geometric puzzle of binding at the all-atom level while obeying biochemical rules nature follows. I'm still mesmerized watching the model generate successful binders directly at the atom level — hydrogen bonds included!

What excites me most: getting this into the hands of scientists through our no-code platform. Replicates our validated workflows, no AI background required. And it’s fast — up to 10x faster than prior methods!

We’re making Latent-X available with a free tier for commercial and academic users alike. We want to get cutting-edge AI into the hands of scientists at big pharma and small labs without needing AI teams or infrastructure.

Starting with macrocycles and mini-binders. Can't wait for your feedback! More to come! For requests beyond current platform capabilities: [email protected].

@razoralign Want to say a word or two about your user agreement?

Congrats team!!

Thank you, Chaitanya!

Congrats Simon!

Thank you, Charlie!

Congrats!!

Thank you, Aidan!!

Great to see joint operation on sequence and structure @CalebLareau

@CalebLareau Thank you, looking forward to having you try the model!

Awesome stuff, Simon!! 🥳🔥

Thank you Rishabh! It would be great to get your feedback on the platform!

Would love to! DM’d :D

Congratulations - that’s amazing!

Thank you Mati - it’s fantastic to have you on board!

@saakohl Awesome work and business model - congratulations. When will we see models further downstream, e.g. ADME?

Congrats @saakohl and team!

Thank you Tomas and congrats for La Proteina

congrats on the launch, very exciting! just filled out your interest form, we'd love to give the model a try

What a massive change is coming for drug discovery

Thank you @Russ_Wilcox, and thanks for being onboard from the start! We can't wait to see what our partners and users are achieving with it!

Congrats to this strong release, Simon!

Thank you Karsten, really appreciate it! Congrats on La Proteina as well!

Awesome to see!! Congrats Simon!

Thank you, Gina!

Looks neat! Why you didn't validate the structures? These binders look small enough to be tested by NMR or X-rays.

Does it only generate new binders or Is it possible to do 'affinity maturation' if a know binding pair is provided?

Thanks for the interest! This model generates new binders.