Atlas · AI in life science

Who is applying AI in life sciences

Companies, startups, grant-funded research groups and the models they build, merged across public sources and mapped. Each organization links to the source it came from.

891organizations clearly applying AI in life sciences, screened from 2,585 found in company research, Y Combinator, NIH, SBIR, EU and UK grants, and SEC filings
96life-science AI models, from AlphaFold 3 to GPT-Rosalind
$5.6BNIH funding to AI-related research at research institutions, fiscal 2025–26

What the data shows

By number of organizations, AI in life sciences is mostly diagnostics and care delivery, not drug discovery: 284 care-delivery and 269 diagnostics-and-genomics organizations, against 71 AI-native drug developers.

Basis: organizations classified by how they apply AI, from their own descriptions, grant titles and funding announcements.

The largest private rounds go to AI drug design: Isomorphic Labs raised $2.1B (Series B, May 2026); Xaira Therapeutics launched with a $1B Series A.

Sources: Isomorphic Labs · Drug Discovery & Development

Big pharma is buying AI design capacity through partnerships worth $1B or more: Amgen with Generate Biomedicines (up to $1.9B), Incyte with Genesis Molecular AI (over $1B), and Eli Lilly's $1B co-innovation lab with NVIDIA.

Sources: Bloomberg Government · Ropes & Gray · Bio-IT World

Frontier labs are selling directly to scientists: OpenAI launched GPT-Rosalind, its first life-sciences model, in April 2026; Anthropic launched Claude Science, a research workbench, in June 2026.

Sources: OpenAI · Anthropic

Protein design is the most crowded model category: 21 of 96 tracked models, ahead of pathology and imaging (17) and single-cell or virtual-cell models (12). Academic labs build more of them (31) than big tech (15).

Basis: models tracked from primary pages, GitHub and Hugging Face, classified by modality and builder.

Where they are

CountryOrganizations
United States394
United Kingdom103
Germany45
Spain28
France26
Netherlands20

Counts are organizations with a known location. In the US, California leads with 205, then New York (58) and Massachusetts (36).

How it is built

Profiled companies were researched from primary sources, each with source links. Y Combinator companies come from the open yc-oss dataset; NIH and SBIR awards from NIH RePORTER (fiscal 2025–26); EU projects from CORDIS (Horizon Europe and Horizon 2020); UK projects from UKRI Gateway to Research; private raises from SEC Form D filings. Organizations found in several sources are merged by name, so each shows all its signals. Of 2,585 organizations found, 891 show a clear use of AI in life sciences; the rest, mostly partners in broad grant consortia, are left out. Grant matching uses broad AI keywords, so some grants are only loosely about AI; the atlas marks how each organization was classified.

Open the full atlas. The map with country, state and city drill-down, all 891 organizations with funding and sources, the 96 models, academic efforts and public grants. Access is free in early access and reviewed by hand.

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