AI for Life Sciences Organizations

Companies and research labs advancing AI in biology, chemistry, and drug discovery

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Climate Non-profit
Pittsburgh, USA
Climate Change AI (CCAI) logo

Climate Change AI (CCAI)

CCAI is a global organization that catalyzes impactful work at the intersection of climate change and machine learning.

Machine learning Climate mitigation Innovation grants Summer schools Technical workshops
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Climate Non-profit
Oakland, USA
Climate Impact Lab logo

Climate Impact Lab

The Lab produces highly localized projections of the social and economic costs of climate change through a collaboration of scientists, economists, and engineers.

Climate science Social cost of carbon modeling Hyperlocal climate risk projections Statistical methods
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Climate Non-profit
London, United Kingdom
Climate Policy Radar logo

Climate Policy Radar

This organization uses Natural Language Processing and AI to build open databases that track and analyze climate change laws, policies, and litigation.

Natural Language Processing Policy mapping Climate legal data Evidence-based climate science
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Climate Non-profit
Berkeley, USA
Earth Species Project (ESP) logo

Earth Species Project (ESP)

ESP is a non-profit research organization dedicated to using AI to decode non-human communication.

Bioacoustics Animal linguistics Ecological monitoring Foundational models
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Climate Non-profit
Oakland, USA
WattTime logo

WattTime

WattTime provides data-driven tools that help people and companies slash emissions by shifting electricity use to cleaner times.

Marginal emissions modeling Grid optimization Emissionality Real-time emissions tracking
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Life Sciences Academic
Stockholm, Sweden
AICell Lab (Science for Life Laboratory / KTH) logo

AICell Lab (Science for Life Laboratory / KTH)

This lab focuses on AI-driven simulators of whole-cell function and high-resolution spatial maps for data-driven molecular biology.

Whole-cell modeling and simulation AI-augmented microscopy automated imaging farms
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Life Sciences Company
Vancouver, USA
Absci logo

Absci

Clinical-stage biotech using generative AI and wet lab integration for de novo antibody design. First AI-designed antibody (ABS-101) entered Phase 1 trials in 2025.

Antibody Design Generative AI Drug Discovery Clinical Development
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Life Sciences Company
Paris, France
Bioptimus logo

Bioptimus

Bioptimus is a French startup that integrates multi-modal biological data to create the first universal AI foundation model for biomedicine.

Universal foundation models digital pathology multi-scale biological simulation
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Life Sciences Company
San Francisco, USA
Chai Discovery logo

Chai Discovery

Developing Chai-1, an open-source multi-modal foundation model for molecular structure prediction rivaling AlphaFold3 performance.

Structure Prediction Open Source Foundation Models Drug Discovery
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Life Sciences Company
New York, USA
EvolutionaryScale logo

EvolutionaryScale

Founded by former Meta AI researchers behind ESM models. Developing ESM-3, the first generative AI that programs biology at the scale of evolution.

Protein Design ESM-3 Generative Biology Foundation Models
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Life Sciences Company
Palo Alto, USA
GenBio AI logo

GenBio AI

Developing AIDO (AI-Driven Digital Organism), an integrated system of multiscale foundation models to simulate and predict biological outcomes.

Digital Biology Foundation Models Simulation Multi-scale Modeling
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Life Sciences Company
Somerville, USA
Generate Biomedicines logo

Generate Biomedicines

Clinical-stage biotech using generative AI to design novel protein therapeutics. Platform generates proteins with specific functions from scratch.

Protein Design Generative AI Therapeutics Clinical Development
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Life Sciences Company
Burlingame, USA
Genesis Therapeutics logo

Genesis Therapeutics

Genesis Therapeutics combines AI-driven molecular generation with physical simulations to accelerate the discovery of small molecule candidates for oncology and inflammatory diseases.

GEMS platform molecular simulations generative AI for small molecules oncology research
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Life Sciences Company
London, UK
Google DeepMind logo

Google DeepMind

AI research lab behind AlphaFold, the Nobel Prize-winning protein structure prediction system. Pioneering AI for scientific discovery across biology, chemistry, and physics.

Protein Structure AlphaFold Scientific Discovery Foundation Models
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Life Sciences Company
Hong Kong
Insilico Medicine logo

Insilico Medicine

End-to-end AI-powered drug discovery platform with Pharma.AI suite including PandaOmics, Chemistry42, and InClinico. Multiple drugs in clinical trials.

Drug Discovery Target Discovery Molecule Generation Clinical Development
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Life Sciences Company
London, UK
Isomorphic Labs logo

Isomorphic Labs

AI-first drug discovery company founded by DeepMind's Demis Hassabis. Building on AlphaFold to develop AI-powered drug design, with partnerships with Eli Lilly and Novartis.

Drug Discovery Protein Structure Small Molecules Biologics
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Life Sciences Company
Menlo Park, USA
Meta AI (FAIR) logo

Meta AI (FAIR)

Meta's Fundamental AI Research lab developing ESM protein language models. ESMFold provides fast protein structure prediction and ESM-3 enables protein design.

Protein Language Models ESM Open Source Foundation Models
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Life Sciences Company
Cambridge, USA
Nabla Bio logo

Nabla Bio

Nabla Bio is a Harvard spinout that employs generative AI models to design antibodies for complex, hard-to-drug membrane proteins like GPCRs and ion channels.

De novo antibody design multipass membrane proteins GPCRs ion channels high-throughput experimentation
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Life Sciences Company
Paris, France
Owkin logo

Owkin

AI biotech using federated learning and agentic AI platform (KYRO) to accelerate drug discovery, development, and diagnostics while preserving data privacy.

Drug Discovery Federated Learning Diagnostics Precision Medicine
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Life Sciences Company
Salt Lake City, USA
Recursion Pharmaceuticals logo

Recursion Pharmaceuticals

Clinical-stage biotech decoding biology by integrating AI, automation, and experimental biology. Acquired Exscientia in 2024 for $688M to strengthen AI drug discovery capabilities.

Drug Discovery Phenomics Automation Clinical Trials
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Life Sciences Company
Salt Lake City, USA
Recursion Pharmaceuticals logo

Recursion Pharmaceuticals

Clinical-stage biotech decoding biology by integrating AI, automation, and experimental biology. Acquired Exscientia in 2024 for $688M to strengthen AI drug discovery capabilities.

Drug Discovery Phenomics Automation Clinical Trials
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Life Sciences Company
New York, USA
Schrödinger logo

Schrödinger

Pioneer in physics-based computational chemistry since 1990. Platform integrates machine learning with molecular simulations for drug discovery and materials science.

Computational Chemistry Molecular Simulation Drug Discovery Materials Science
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Life Sciences Company
New York, USA
Schrödinger logo

Schrödinger

Pioneer in physics-based computational chemistry since 1990. Platform integrates machine learning with molecular simulations for drug discovery and materials science.

Computational Chemistry Molecular Simulation Drug Discovery Materials Science
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Life Sciences Company
South San Francisco, USA
Xaira Therapeutics logo

Xaira Therapeutics

Xaira Therapeutics is an integrated biotechnology company that leverages generative AI and pioneering protein design models to transform drug discovery into a precise engineering discipline.

De novo protein design end-to-end drug development biological data generation
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Life Sciences Non-profit
Seattle, Washington, USA
Allen Institute for Cell Science logo

Allen Institute for Cell Science

The Allen Institute for Cell Science develops predictive 3D and 4D models of human cell organization using deep learning and AI.

4D predictive modeling of cell organization integrated intracellular dynamics open-science data visualization
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Life Sciences Non-profit
Palo Alto, California, USA
Arc Institute logo

Arc Institute

Arc Institute is a scientific institution that operates the Virtual Cell Challenge to benchmark AI models predicting cellular responses to genetic perturbations.

AI for genetic perturbation prediction context generalization in cellular states large-scale functional genomics
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Life Sciences Non-profit
Redwood City, California, USA
Chan Zuckerberg Initiative (CZI) logo

Chan Zuckerberg Initiative (CZI)

CZI is a primary driver in the AI for Science field through its Virtual Cells Platform which builds AI-dedicated computing clusters for life science.

Scaling foundation models for biology multi-modal single-cell data integration democratizing AI tools
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Life Sciences Research Lab
London, UK
Google DeepMind logo

Google DeepMind

AI research lab behind AlphaFold, the Nobel Prize-winning protein structure prediction system. Pioneering AI for scientific discovery across biology, chemistry, and physics.

Protein Structure AlphaFold Scientific Discovery Foundation Models
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Life Sciences Research Lab
Menlo Park, USA
Meta AI (FAIR) logo

Meta AI (FAIR)

Meta's Fundamental AI Research lab developing ESM protein language models. ESMFold provides fast protein structure prediction and ESM-3 enables protein design.

Protein Language Models ESM Open Source Foundation Models
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Life Sciences Research Lab
Global
Microsoft Research AI4Science logo

Microsoft Research AI4Science

Dedicated research team applying AI to scientific discovery including molecular simulation, drug discovery, and climate science. Developing foundation models for science.

Molecular Simulation Drug Discovery Climate Science Foundation Models
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Life Sciences Tech
Global
Microsoft Research AI4Science logo

Microsoft Research AI4Science

Dedicated research team applying AI to scientific discovery including molecular simulation, drug discovery, and climate science. Developing foundation models for science.

Molecular Simulation Drug Discovery Climate Science Foundation Models
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Life Sciences Tech
Santa Clara, USA
NVIDIA BioNeMo logo

NVIDIA BioNeMo

NVIDIA's platform for developing and deploying AI models in drug discovery. Provides pretrained models, cloud services, and framework for biomolecular AI.

Infrastructure Foundation Models Drug Discovery Cloud Platform
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