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Find similar grantsNSF SBIR/STTR Artificial Intelligence Topic is sponsored by National Science Foundation. NSF SBIR/STTR Artificial Intelligence Topic is a grant from the National Science Foundation that funds small business innovation and research in artificial intelligence technologies.
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Artificial Intelligence Grant – Apply Today | NSF SBIR For proposal preparation and submission instructions, click here . The SBIR/STTR program looks forward to receiving the submission of new Project Pitches in response to the new solicitations beginning on Tuesday, June 2, 2026. 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.
According to the current listing, eligibility includes: U. S. -based small businesses (<500 employees), majority U. S. ownership, Minimal venture capital ownership; small business under SBIR/STTR rules. Confirm the full requirements in the official notice before applying.
The current listing shows phase I up to $275,000; Phase II up to $1,000,000; total up to $2,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
This listing does not include a published deadline, but it is an annual program. Check the official notice for the current cycle's exact dates.
NSF SBIR/STTR Artificial Intelligence Topic is funded by National Science Foundation. 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.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NSF's Industry-Integrated PhD Scholars Program commits $47 million over five years through the nonprofit UIDP to place more than 250 doctoral students in year-long industry research placements. Universities fund year one, NSF funds years two through four, and each company puts in at least $100,000 per student. Here is what the funding structure actually selects for, the four-year timeline problem, and what universities, companies, and students should do.
Read articleNSF has $8.8 billion appropriated and is holding roughly $1 billion of it in a central account earmarked for a White House initiative called Grand Research Challenges. Core programs cannot reach the money. Roughly 400 peer-reviewed, recommended proposals are sitting at the Office of Award Management. Here is what the mechanism actually is, why it is different from the terminations story, and how to plan a submission calendar around it.
Read articleNSF 26-521 folds eight materials programs into one solicitation carrying $100 million and 200 to 300 awards. Proposals are accepted anytime — but no individual may appear as PI or co-PI on more than one proposal per fiscal year across all eight programs. That single sentence reshapes how materials labs collaborate.
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