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Find similar grantsThis program provides non-dilutive funding for AI and machine learning projects, including NLP and language models, generative AI, ML platforms, predictive analytics, AI safety and ethics, and healthcare AI. It targets small businesses with a clear path to market revenue.
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Or search similar grants →According to the current listing, eligibility includes: Eligible U. S. small businesses. Confirm the full requirements in the official notice before applying.
The current listing shows up to $305,000 (Phase I), $1.25 million (Phase II). Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI & Machine Learning Grants 2026-2027 – NSF SBIR is funded by U.S. National Science Foundation (NSF). Verify program details on the funder's official page before applying.
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The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
PCORI Cycle 2 2026 Methods Funding Announcement specifically prioritizes Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (CER). The program funds studies addressing high-impact methodological gaps, with AI/ML topics including applications of AI/ML to augment or transform research methodologies or processes and approaches using AI/ML to enhance health communication. Additional priority areas include Methods to Support Use of Real-World Data in Multi-Site Patient-Centered CER and Methods to Improve Study Design. Awards provide up to $750,000 in direct costs for up to 3 years from a total program budget of $12 million. Applicants must address PCORI Foundational Expectations for Partnerships in Research, ensuring patients and stakeholders meaningfully contribute lived experience. Letter of Intent deadline is April 28, 2026, with full applications due September 1, 2026.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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