Anthropic is opening applications for a focused grant program within its AI for Science initiative, targeting rare genetic disease research with up to $50,000 in Claude API credits per recipient over six months. The program has two tracks: one for basic science researchers and one for early-stage biotechs accelerating drug development. Anthropic is partnering with the Monarch Initiative, an international rare disease consortium, and highlights use cases including mechanistic disease classification, regulatory documentation drafting, and therapeutic target analysis. The initiative reflects Anthropic's strategy of directing frontier model access toward high-impact scientific domains.
Anthropic is launching an AI for Science program that provides free API credits to qualified researchers at academic institutions, with a focus on biology, life sciences, drug discovery, and agricultural productivity. Researchers are selected based on scientific contribution, potential impact, and AI's ability to accelerate their work. The initiative aligns with Dario Amodei's 'Machines of Loving Grace' vision and represents a structured philanthropic/access program rather than a technical release.
Anthropic and the Gates Foundation are committing $200 million over four years in grant funding, Claude usage credits, and technical support across global health, life sciences, education, and economic mobility. Key technical deliverables include healthcare AI benchmarks and evaluation frameworks, disease modeling integrations with the Institute for Disease Modeling, drug/vaccine screening tools for neglected diseases, and agricultural AI datasets. The partnership is led by Anthropic's Beneficial Deployments team and includes public goods such as open datasets and benchmarks. This represents a significant scaling of Anthropic's non-commercial AI deployment strategy.
Anthropic describes how researchers are deploying Claude-powered systems across scientific workflows, highlighting three case studies: Biomni (a Stanford agentic platform integrating hundreds of biomedical tools), the Cheeseman Lab (automating large-scale gene knockout experiment interpretation), and others. The piece details Claude for Life Sciences and the AI for Science program, which provides free API credits to high-impact research projects. Specific benchmarks cited include compressing months-long GWAS analyses to 20 minutes and analyzing 336,000 single-cell datasets to identify novel transcription factors.
Anthropic is committing $10 million CAD to Canadian research institutions including Amii, Mila, the Vector Institute, CHEO, CAMH, Université Laval, University of Toronto, and University of Saskatchewan, funding work in responsible AI, health, reinforcement learning, and low-resource languages. Partnerships include Claude API credits for research teams and, via the Anthropic for Startups program, at least $5,000 USD in credits to hundreds of Canadian startups affiliated with the three regional AI institutes. Anthropic also published a Canadian country brief from its Economic Index, showing Canada ranks eighth globally in Claude.ai use with per-capita adoption more than four times what population size would predict. The announcement combines philanthropic research investment with strategic ecosystem-building in a country with deep historical ties to foundational AI research.
Anthropic is launching Claude Corps, a national fellowship program committing $150M to train 1,000 early-career fellows in Claude usage and place them full-time at nonprofits across the US for 12-month stints at $85,000 salaries. The program is structured as a three-way partnership between Anthropic (funding and Claude expertise), CodePath (employer of record and training), and Social Finance (measurement and scaling vehicle). Anthropic frames the initiative as a direct response to AI-driven labor disruption, aiming to both equip nonprofits with AI capabilities and build AI skills in workers absorbing economic change. The $150M initial commitment is positioned as a foundation for a larger, scalable model.
Anthropic unveiled Claude Science at an event for pharmaceutical executives, biotech founders, and researchers, positioning it as a major product for scientific research analogous to what Claude Code is for software engineering. Like Claude Code, Claude Science can autonomously execute meaningful work from high-level instructions and has access to relevant tools. The announcement signals Anthropic's expansion into scientific AI agents as a distinct product category targeting life sciences and research workflows.
Anthropic released Claude Science in beta, an AI-powered research environment integrating over 60 curated scientific tools and databases for genomics, proteomics, structural biology, and cheminformatics. The platform features a coordinating agent with specialist sub-agents, a reviewer agent for citation and calculation checking, reproducible auditable artifacts, and flexible compute management across local machines, HPC clusters, and on-demand GPUs. It integrates with NVIDIA's BioNeMo Agent Toolkit, connecting to models like Evo 2, Boltz-2, and OpenFold3. Available to Claude Pro, Max, Team, and Enterprise users, this represents Anthropic's most significant expansion into scientific AI tooling.
Anthropic has announced flagship partnerships with the Allen Institute and Howard Hughes Medical Institute (HHMI) to embed Claude into active scientific workflows at both institutions. HHMI's collaboration, anchored at Janelia Research Campus, focuses on developing specialized AI agents integrated with scientific instruments and analysis pipelines. The Allen Institute partnership targets multi-agent systems for multi-modal biological data analysis, including multi-omic integration, knowledge graph management, and experimental design coordination. Both partnerships emphasize interpretability, researcher autonomy, and transparency, with the stated goal of compressing months of manual analysis while keeping human scientists in control of scientific direction.