Latent Labs

Latent Labs reports its academic beta cohort included UC Davis professor Vladimir Yarov-Yarovoy's group designing ion-channel nanobodies, with four of five tested designs blocking channel current and the strongest achieving an IC50 of 30 nM.

Latent Labs opened Latent-Y to researchers worldwide in July 2026 after lab validation across nine targets, with platform access for academic and internal business use plus commercial enterprise partnerships.

Latent Labs opened Latent-Y to researchers worldwide in July 2026 after lab validation across nine targets, with platform access for academic and internal business use plus commercial enterprise partnerships.

Latent Labs describes joint all-atom sequence and structure generation, confirmed binding hits on half of 18 tested targets, and ex vivo immunogenicity assays in a ten-donor human panel.

Latent Labs builds frontier generative biology models including Latent-X2 and the autonomous Latent-Y drug-design agent; the founding team includes former AlphaFold contributors and DeepMind leaders.

Latent Labs builds frontier generative biology models including Latent-X2 and the autonomous Latent-Y drug-design agent; the founding team includes former AlphaFold contributors and DeepMind leaders.

Latent Labs identifies Annette Obika-Mbatha as Head of Operations, Sandy Nelson in Strategy and Talent, and Rebecca Bartke-Croughan as a Platform Scientist building biological validation platforms.

Latent Labs raised $50M and operates a cloud platform with API, private deployment options and an enterprise partnership tier for drug-design workflows.

Latent Labs raised $50M and operates a cloud platform with API, private deployment options and an enterprise partnership tier for drug-design workflows.

Latent Labs' Latent-X2 report describes jointly generating all-atom structures and sequences from target structure, epitope and optional antibody-framework prompts, with candidate validation and browser/API access.

Latent Labs roles span foundation models, applied AI, computational protein design and forward-deployed engineering, combining transferable ML systems skills with specialized biology expertise.

Latent Labs roles span foundation models, applied AI, computational protein design and forward-deployed engineering, combining transferable ML systems skills with specialized biology expertise.