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Artificial Intelligence (AI) funding (under NSF SBIR/STTR) is sponsored by U.S. National Science Foundation (NSF). This specific topic within the NSF SBIR/STTR program focuses on cutting-edge technologies in the field of deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust against sophisticated adversaries, privacy-preserving, and efficient.
It supports startups and small businesses to translate AI research into products and services for the public good.
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Or search similar grants →Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Small businesses (fewer than 500 employees) located in the United States. At least 50% of the company's equity must be owned by U.S. citizens or permanent residents. Companies that are majority-owned by multiple venture capital firms, private equity firms, or hedge funds are not eligible. Confirm the full requirements in the official notice before applying.
The current listing shows varies (typically Phase I up to $250,000, Phase II up to $1.8 million). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Artificial Intelligence (AI) funding (under NSF SBIR/STTR) is funded by U.S. National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The solicitation lists 2 required documents: Project Pitch and Full Proposal. Check the official notice for formatting and page-limit rules.
Past winners and funding trends for this program
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Nebius Research Grants Program is sponsored by Nebius. The Nebius research grants program provides researchers with free access to GPU cloud, AI models, and Tavily's agentic search engine, along with Nebius' expertise to accelerate discovery and deployment in AI. It supports academic or scientific projects with clear objectives, innovative use of GPUs for AI, machine learning, data analytics or HPC, and demonstrated feasibility and potential impact.
NSF 26-516 folds Atmospheric and Geospace Sciences, Earth Sciences and Ocean Sciences into a single GEO Core solicitation: $110 million, 200 to 350 awards, proposals accepted anytime. Geosciences piloted no-deadline review nine years ago and knows what it does to submission volume. Here is the per-award math, the ship-time and permitting traps, and the two-year data-archive clock that now governs every award.
Read articleNSF 26-520 consolidates 14 mathematical sciences programs into $200 million and 400 to 600 awards with no per-PI cap and no deadline. Folded into it are Research Training Groups and Focused Research Groups — department-scale, cohort-building competitions that ran on a fixed annual date. Here is why removing that date is a different kind of change for training grants than for single-investigator grants, and what math departments should do before the fall.
Read articleNSF 26-522 consolidates AAG, ATI and MSIP into a single astronomical sciences solicitation with $100 million and about 140 awards. Accomplishment-based renewals will be returned without review, voluntary cost sharing is prohibited, and routine instrument upgrades are explicitly deprioritized. The new Innovations track — one to three awards a year — is where facility operations and community observing time now live.
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