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Artificial Intelligence (AI) funding is a grant from multiple federal agencies through the SBIR/STTR programs that funds small business research and development of AI and machine learning technologies. The program supports small businesses developing innovative AI solutions including natural language processing, computer vision, decision support systems, and autonomous systems with commercial and government applications.
Eligible applicants are U.S.-based small businesses with fewer than 500 employees and majority American ownership. Phase I awards support feasibility and concept development, while Phase II awards fund full R&D. Topic areas span defense, health, energy, agriculture, and other federal mission domains.
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Artificial Intelligence Grant – Apply Today | NSF SBIR Check recent critical alerts! (Last updated 4/16/2026) NSF will resume the submission of new Project Pitches to the SBIR/STTR programs in the coming weeks. Program Directors will continue to process Project Pitches that were previously received.
Please direct any questions to sbir@nsf. gov . Artificial Intelligence (AI) bioMASON Inc interior and exterior façade tile made with biocement, which is less costly and more sustainable than its traditional counterpart Artificial Intelligence (AI) The Artificial Intelligence topic focuses on cutting-edge technologies in the field of deep learning-based AI systems and AI-based hardware.
The recent successes in computer vision, machine translation, natural-language processing and speech recognition have led to widespread use of learning-based systems in production and an unprecedented growth in AI systems that interact frequently with and/or on behalf of humans in highly personalized contexts.
This topic especially emphasizes next-generation AI technologies that are not only safe and reliable but also fair, robust against sophisticated adversaries, privacy preserving, and efficient in terms of computational resources, energy, training data size, etc. It also includes cutting-edge hardware technologies needed for sustainable AI (i.e., novel devices and architectures to support the tremendous processing power needed by AI technologies), edge devices (i.e., intelligent systems on a chip for applications such as voice assistants) and AI technologies that lead to better hardware systems.
These subtopics are only meant to serve as examples. All proposals that are focused on developing a new high-risk technical innovation and that have significant potential commercial and societal impact are welcome to apply, regardless of subtopic. AI1.
Cognitive Science-based Technologies AI2. Computer Vision Based AI Technologies AI3. Conversational AI Technologies AI4.
Language-Based AI Technologies AI5. Novel AI Hardware Technologies (e.g. Neuromorphic Computing, High-performance Technologies for AI, Smart and Secure Edge Devices, etc.) AI6. Sustainable AI Technologies for Low Resource Environments AI7.
Technologies for Trustworthy AI (safe, fair, transparent, privacy-preserving, explainable, and/or secure) AI8. Other Novel Technologies Application process for Artificial Intelligence (AI) funding Eligibility for Artificial Intelligence (AI) funding + Your company must be a small business (fewer than 500 employees) located in the United States. At least 50% of your company’s equity must be owned by U.S. citizens or permanent residents.
NSF does not fund companies that are majority-owned by multiple venture capital firms, private equity firms, or hedge funds, to participate in SBIR and STTR. All funded work, including work done by consultants and contractors, needs to take place in the United States. The project’s principal investigator (tech lead) must be legally employed at least 20 hours a week by the company seeking funding.
The principal investigator doesn’t need any advanced degrees. The principal investigator needs to commit to at least one month (173 hours) of work on a funded project per six months of project duration. Evaluation Criteria: What We Look for When Evaluating Artificial Intelligence (AI) proposals + Take our project assessment to see if your work might be a good fit for NSF funding.
Voice biomarkers identify mental health challenges Kintsugi Mindful Wellness is using artificial intelligence to develop voice biomarker software to measure, predict, and scale access to mental healthcare. To learn more visit: https://www. kintsugihealth.
com AI helps medical professionals interpret, perform ultrasounds Caption Health (formerly known as Bay Labs) uses artificial intelligence to help medical professionals perform and interpret ultrasounds. To learn more visit: https://captionhealth. com/ Improving surgical outcomes with machine learning KelaHealth combines a patient’s data and machine learning to reduce surgical risks.
Its platform reduces surgical complications by using patient data and predictive algorithms to create “tailored risk profiles” for patients before surgery. To learn more visit: https://www. kelahealth.
com/ Kintsugi Mindful Wellness, Inc. We invest up to $2 million in seed funding and take zero equity. We’re looking for companies that are transformative, high-risk, have a market pull, and are scaleable.
Based on current listing details, eligibility includes: Small businesses (fewer than 500 employees) located in the United States, with at least 50% U. S. citizen or permanent resident ownership. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.
NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs is sponsored by National Science Foundation (NSF). These programs provide non-dilutive funds for use-inspired research and development of unproven, leading-edge technology innovations that address societal challenges. NSF funds broadly across scientific and engineering disciplines and does not solicit specific technologies.
Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.
The purpose of this FOA is to provide funding for up to four (4) Tribal Colleges and Universities (TCUs) that will provide entrepreneurial development services to Native American communities, focusing on supplying services to socially and economically disadvantaged entrepreneurs in locations that are outside of the geographical areas of existing SBA resources. Eligible applicants must be Tribal Colleges and Universities as defined in the Higher Education Act HEA 316 (U.S.C. 1059c). Funding Opportunity Number: SB-GC7J-23-002. Assistance Listing: 59.007. Funding Instrument: G. Category: BC,ED. Award Amount: Up to $250K per award.
The purpose of this FOA is to provide funding for up to two (2) private, non-profit organizations that will provide entrepreneurial development services to women, with an emphasis on socially and economically disadvantaged entrepreneurs in locations that are outside of the geographical areas of existing WBCs for the District of Columbia (DC) and the State of Oregon. There will be one award for each location. Eligible applicants must be private, non-profit organizations with 501(c) tax exempt status from the U.S. Treasury’s Internal Revenue Service and must provide services to the District of Columbia (DC) and State of Oregon. Funding Opportunity Number: SB-OEDWB-23-002. Assistance Listing: 59.043. Funding Instrument: G. Category: BC,CD,RD. Award Amount: $75K – $150K per award.
Small Business Innovation Research and Small Business Technology Transfer Programs Phase I is sponsored by U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA). The USDA SBIR/STTR programs support small businesses in creating innovative, disruptive technologies with commercial potential or societal benefit, including projects dealing with agriculturally-related manufacturing and alternative and renewable energy technologies. Specialty tubing could be relevant for agricultural equipment or renewable energy systems.