London & San Francisco, July 22, 2025 – Latent Labs unveiled Latent-X, a cutting-edge generative AI model that enables researchers to design protein binders—both macrocycles and mini-binders—directly in their web browser via a no-code platform  .

Why Latent-X Matters

• Streamlined workflows: Replace traditional screening of millions of molecules (often <1% hit rate) with just 30–100 designs per target, achieving lab-validated binders in seconds  .

• Impressive lab results: Depending on target, hit rates reached 91–100% for macrocycles and 10–64% for mini-binders; mini-binders hit picomolar affinities, macrocycles achieved single-digit micromolar binding  .

• High-speed design: Latent-X generates structures over 10× faster than previous methods, co-designing both sequence and 3D structure at atomic resolution  .

Accessible & Intuitive

• No-code platform: Upload your protein target, specify binding hotspots, generate and screen binders, visualize 3D structures, and rank candidates—no coding or infrastructure required.

• Free tier, open access: Sign-ups are available now for both commercial and non-commercial users at?platform.latentlabs.com  .

Tech & Team Highlights

• Built by a team of ex–AlphaFold2 developers and ex-DeepMind leads headquartered in London and San Francisco, backed by a $50?M Series A led by Radical Ventures and Sofinnova Partners, with investors including Jeff Dean and Aidan Gomez.

• The model generalizes across unseen targets and modalities, paving the way for advanced formats like nanobodies and antibodies—available via platform/API in future versions  .

In Summary

Latent-X turns protein binder design into a push-button experience. With high lab-validation rates, atomic-level specificity, and instant web access, it marks a major leap toward programmable biology. Researchers and drug developers can now design candidate binders in seconds—bypassing months of wet-lab guesswork.

For C# Corner readers: While Latent-X is focused on biochemistry, its infrastructure—high-performance model serving via APIs or browser UIs—mirrors trends in AI-powered DEV platforms. Think: seamless integration of advanced ML models without infrastructure friction—something many C# developers are exploring in their own domains.

Interested?

• Sign up for early access: platform.latentlabs.com 

• Explore the technical report for lab data, binding affinities, and model architecture.

Latent-X isn’t just biology’s AlphaFold 3.0—it’s the next wave in automated molecular engineering, powered by generative AI.