Science AI apps

Browser-based generative AI for push-button protein design.

Latent Labs builds frontier generative AI models for molecular biology, delivered through a no-code web platform. Its Latent-X model designs de novo protein binders — mini-binders and macrocycles — directly in the browser, letting scientists upload a target and generate candidates without specialized infrastructure. The platform is in early access.

AI scientists paired with autonomous labs to discover new materials.

Periodic Labs is building AI scientists and the autonomous laboratories for them to operate, automating hypothesis generation, experiments, and analysis across the physical sciences. Its initial targets include discovering higher-temperature superconductors and new materials for chipmakers. It is a research-stage company deploying with industry partners rather than a self-serve product.

AI agents that automate scientific literature research and discovery.

FutureHouse is a nonprofit AI-for-science lab building AI agents that automate steps of the research process. Its free FutureHouse Platform exposes specialized agents — including Crow, Falcon, Owl, and Phoenix — for literature search, synthesis, and chemistry, plus Kosmos, an 'AI Scientist' that runs autonomous multi-step analyses. The agents are available through a web app and an open API.

Autonomous AI labs pursuing scientific superintelligence.

Lila Sciences is building a 'scientific superintelligence' platform that pairs a proprietary AI model with autonomous AI Science Factory lab instruments to generate hypotheses, design and run experiments, and learn in real time. It offers Catalyst, which augments existing R&D, and Creation, for new discoveries, across materials, therapeutics, chemicals, and energy. It is a platform and research company engaged through partnership rather than self-serve.

Frontier protein language models (the ESM family) for biology.

EvolutionaryScale builds frontier protein language models — the ESM family, including ESM3, which reasons jointly over sequence, structure, and function. ESM3-open ships open weights and code under a non-commercial license, while larger models are served via its Forge API and AWS/NVIDIA partnerships. It is both an open-model provider and an API platform for protein design and understanding.

Generative protein language models that design novel proteins.

Profluent uses generative AI — its ProGen-lineage protein language models — to author novel proteins from scratch or from natural scaffolds, for medicine and agriculture. It released OpenCRISPR-1, described as the first AI-designed gene editor (open-licensed and published in Nature), and is expanding into antibodies and enzymes. It operates as an AI protein-design company working through partnerships with open-sequence releases, not a self-serve consumer platform.

AI protein-engineering platform for faster lab design rounds.

Cradle is an AI-powered protein-engineering SaaS platform that guides scientists through design rounds — candidate generation, multi-property optimization, and results analysis — using ML models trained per-customer on proprietary wet-lab data. It runs its own validation wet lab in Amsterdam and serves biopharma and industrial-biotech R&D teams including Novo Nordisk and Johnson & Johnson. It is sold via subscription with no royalties, and customers keep full IP.

Foundation models for molecular structure and antibody design.

Chai Discovery builds foundation models for drug discovery — Chai-1 for biomolecular structure prediction across proteins, ligands, DNA/RNA, and glycans, and Chai-2 for de novo antibody design. Chai-1 weights and inference code are released for non-commercial use, and a free web server runs the model in-browser. It is both a model provider and a usable platform.

AI-first drug design built on AlphaFold for pharma R&D.

Isomorphic Labs is an AI-first drug discovery company spun out of Google DeepMind, building generative and predictive ML models for molecular design and drug-performance prediction. Its Drug Design Engine builds on AlphaFold to advance internal and partnered pipelines with Eli Lilly, Novartis, and J&J. It is a drug-discovery company that works through pharma R&D partnerships rather than a self-serve product.

AI deep-research agent that finds every relevant paper on a scientific question.

A research-discovery platform that takes a natural-language question and autonomously searches, reads, and evaluates hundreds of academic papers — following citation trails and explaining each result's relevance, mimicking how an expert runs a literature review. Built by MIT quantum-physics PhDs and backed by Y Combinator; used by researchers at MIT, Harvard, and Caltech.