AI for Science expands to foundations and research institutions
Anthropic Anthropic
Anthropic is giving free Claude credits to 20 science groups worldwide. It’s trying to move AI from chatbots into actual labs, papers, and data crunching.
Based on reporting by Anthropic, Anthropic — read the original for the full story.
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Anthropic is widening its AI for Science program and handing free Claude credits to 20 scientific foundations, institutions, and research groups around the world. The pitch is simple: give researchers more AI access, and they can move faster on projects with big scientific stakes.
The company says it started the program in May 2025 and has since supported hundreds of projects across biology, medicine, physics, chemistry, climate science, and mathematics. Scientists are using Claude to generate hypotheses, design experiments, analyze complex data, and write up findings. Anthropic has also rolled out a discounted Team plan for scientists.
This latest push goes beyond individual researchers. Anthropic is now working with scientific organizations on collaborative projects, and some of those efforts are aimed at public goods like open datasets, open-source software, open standards, and shared libraries. One example is HHMI Janelia Research Campus, where Anthropic helped develop the Model Hardware Standard, a shared specification for safely letting AI agents operate lab instruments. The standard is in research preview.
The Allen Institute is another example. It builds large open datasets and tools for brain, cell, and immune research, and Anthropic says it is helping the institute build teams of AI agents to cut months of manual analysis down to hours. Other partners include the Alfred P. Sloan Foundation, the Simons Foundation, Schmidt Sciences, the US National Science Foundation, CAS, Space Telescope Science Institute, Wellcome Sanger Institute, the Francis Crick Institute, Imperial College London, EMBL, and the Gladstone Institutes.
Anthropic is also backing specific research efforts such as FlyWire at Princeton, LEAP at Columbia, AstroPath at Johns Hopkins, gnomAD at the Broad Institute, Tau Ceti, and the Centre for Population Genomics. The common thread is obvious: the company wants Claude embedded in the machinery of science, not just in a browser tab.
My take — AI-written commentary, not fact-checked reporting
This is the right place for AI money to go: not more chatbot demos, but the unglamorous stuff that actually moves research. The open-data and open-standard angle matters too, because science gets weird fast when every lab builds its own private little kingdom.
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