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About Latent Labs

Latent Labs builds frontier generative AI models that make biology programmable for applications in health and sustainability. The company develops specialized models for molecular biology, enabling partners to design new antibodies, optimize enzymes, and advance genetic engineering with unprecedented control. Latent-Y is introduced as the first lab-validated agent for drug design, while Latent-X2 focuses on drug-like antibodies with low immunogenicity, and Latent-X targets atom-level protein binder design. These models are designed to capture biological fundamentals, empowering researchers and partners to push the boundaries of what is possible in molecular biology. The team at Latent Labs includes contributors to DeepMind’s AlphaFold models, combining deep expertise in AI and biology to drive innovation. The company collaborates with researchers worldwide, offering early access to its models and supporting breakthroughs in drug discovery and sustainable biotechnology. Latent Labs is backed by leading venture capital firms and notable angel investors, reflecting strong confidence in its mission to transform biology through AI. Latent Labs positions itself at the intersection of AI and molecular biology, aiming to unlock new possibilities in therapeutic development and genetic engineering. Its models are intended for use cases that require precise control over molecular design, such as creating antibodies with reduced immunogenicity or designing protein binders at the atomic level. The company emphasizes accessibility for researchers, providing free daily access to its models along with on-demand credits for larger-scale projects. By making biology programmable, Latent Labs seeks to address global challenges in health and sustainability through cutting-edge AI-driven solutions.

Key features

  • Generative AI for programmable biology
  • Drug design agent (Latent-Y)
  • Antibody modeling with low immunogenicity (Latent-X2)
  • Atom-level protein binder design (Latent-X)
  • Free daily access for researchers
  • On-demand credits for larger campaigns
  • Frontier models capturing biological fundamentals

Use cases

  • Drug discovery and design
  • Antibody engineering
  • Protein binder development

Pros

  • Frontier AI models for molecular biology and drug design
  • Lab-validated agent for drug discovery (Latent-Y)
  • Specialized models for antibodies and protein binders
  • Free daily access and on-demand credits for research
  • Backed by venture capital and prominent angel investors

Cons

  • No clear pricing or commercial licensing details on homepage
  • Access appears limited to researchers and partners
  • No explicit mention of open-source availability
  • Geographic focus on London and San Francisco teams

Frequently asked questions about Latent Labs

What does Latent Labs do?

Latent Labs develops frontier generative AI models for molecular biology, enabling researchers to design new antibodies, optimize enzymes, and advance genetic engineering with unprecedented control.

Who is Latent Labs designed for?

The tools are designed for researchers and partners in molecular biology, drug discovery, and genetic engineering who seek breakthrough control over biological design.

How can I access Latent Labs' models?

Researchers can get early access to Latent Labs' models through the company’s website, with free daily access and on-demand credits available for larger campaigns.

What are the key models offered by Latent Labs?

Latent Labs offers Latent-Y for drug design, Latent-X2 for drug-like antibodies with low immunogenicity, and Latent-X for atom-level protein binder design.

What is the background of Latent Labs' team?

The founding team includes contributors to DeepMind’s AlphaFold models, bringing deep expertise in AI and biology to the company’s mission.

How can I contact Latent Labs for partnerships or inquiries?

Inquiries can be directed via the company’s enquiry form or by emailing contact@latentlabs.com for general, media, or partnership-related questions.

Latent Labs Website Engagement

Last Update: 4 days ago

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Monthly Traffic

18K21K23K26K29KJun 2026Jul 2026Aug 2026

Traffic Sources

0%10%20%30%0%Social0%PaidReferrals0.9%Mail2.9%Referrals0%Search28.1%Direct

Traffic Share By Country

56.5%27%6.1%
  • United States56.5%
  • United Kingdom27%
  • India6.1%
  • Indonesia3.1%
  • Germany2.9%

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