Anthropic Doubles Down on AI for Science: 20 Partners Join as Free Quota Covers Multiple Fields

Anthropic has expanded its AI for Science program beyond life sciences, announcing on October 28 partnerships with 20 science foundations, research institutions and project teams across astronomy, genomics, cancer research, climate science and mathematics. The expansion follows just one day after the company disclosed collaborations with six drug discovery organizations and provides free Claude API credits to help researchers analyze data, develop hypotheses and design experiments. Launched in May 2025, the program initially focused on biology and life sciences. In August, Anthropic raised per-project credit allowances to as much as $50,000 and opened 10,000 free or discounted Claude Team seats to scientists worldwide. The company said the initiative has already supported hundreds of projects in biology, medicine, physics, chemistry, climate science and mathematics. The new partners fall into three categories. Six funders and academic organizations, including the U.S. National Science Foundation, the Simons Foundation, Schmidt Sciences, the Alfred P. Sloan Foundation, the American Chemical Society’s CAS, and Renaissance Philanthropy’s Open Source for Science Fund, will distribute Claude resources to researchers in their networks. The Simons Foundation had previously joined Anthropic and OpenAI in a $15 million effort announced in October to support mathematical research with AI and establish standards for evaluating AI-assisted proof work. Six major research institutions will receive direct support, including the Space Telescope Science Institute, the Wellcome Sanger Institute, the Francis Crick Institute, Imperial College London’s life sciences department, the European Molecular Biology Laboratory and the Gladstone Institutes. These organizations manage large-scale astronomical data, genomic sequencing programs, biomedical datasets and widely used open-science infrastructure. Anthropic is also backing six specific research projects. They include Princeton University’s FlyWire brain mapping project, the Broad Institute’s gnomAD human variation database, Johns Hopkins University’s AstroPath tumor imaging project, Columbia University’s LEAP climate modeling effort, the Tau Ceti mathematical verification project using Lean, and Australia’s Centre for Population Genomics. The initiatives span neuroscience, cancer research, rare disease diagnosis, climate modeling and proof validation. The company also highlighted two earlier collaborations. The Allen Institute is building multi-agent AI systems to analyze large open datasets in neuroscience, cell biology and immunology, potentially reducing some months-long analysis tasks to hours. At the HHMI Janelia Research Campus, Anthropic helped develop the Model Hardware Standard, a research-stage interface that allows AI agents to operate laboratory equipment from different vendors. In early tests, researchers integrated imaging devices that previously required seven separate software systems, though human oversight remains necessary. Anthropic said its goal is to support open datasets, open-source software, shared standards and scientific tools. The company did not disclose the exact amount of credit given to each partner or whether the new projects have produced validated scientific results. Many collaborations remain in early stages, and their impact on research efficiency and scientific discovery will depend on future outcomes.