Science

Directory

Absci

Generative antibody design that combines large wet-lab datasets with models to create and validate therapeutic candidates.

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AlphaFold

Protein structure prediction system from Google DeepMind, with a free server for modelling proteins and their interactions.

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Atomwise

Structure-based virtual screening that uses deep learning to search billions of compounds for binders to a protein target.

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Benchling

Cloud R&D platform for life science labs covering sample registry, notebook and workflow data, with AI over lab records.

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BenchSci

Search over experimental data extracted from papers and patents to select antibodies, reagents and preclinical models.

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Boltz

Open-source model for biomolecular structure and binding affinity prediction, an accessible alternative to closed folding tools.

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Chai Discovery

Biomolecular structure and interaction prediction models, Chai-1 and Chai-2, available through a free web tool for research.

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Cradle

Protein engineering tool where scientists design and optimize sequences with generative models and iterative lab feedback.

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EvolutionaryScale

Research lab behind the ESM protein language models, offering an API and open weights for protein design and analysis.

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FutureHouse

Nonprofit building AI agents for scientific research, including literature search and reasoning agents aimed at biology.

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Insilico Medicine

Generative chemistry and target discovery software, Pharma.AI, behind AI-designed drug candidates now in clinical trials.

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Isomorphic Labs

DeepMind spinout applying AlphaFold-derived models to drug design, running discovery programs with large pharma partners.

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NVIDIA BioNeMo

Framework and model collection for training and deploying biomolecular AI across protein, small molecule and genomic data.

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NVIDIA Earth-2

Platform of AI weather and climate models for fast high-resolution forecasting and kilometre-scale climate simulation.

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Owkin

AI biology company using federated learning across hospital datasets to find biomarkers and improve clinical trial design.

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Recursion

Drug discovery company pairing automated cell imaging at scale with machine learning maps of biology to find candidates.

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RFdiffusion

Open-source diffusion model for de novo protein design, generating backbones for binders, enzymes and structural scaffolds.

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Schrödinger

Computational chemistry suite combining physics-based simulation with machine learning for drug and materials design.