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Find similar grantsNSF SBIR/STTR Artificial Intelligence Topic is sponsored by National Science Foundation. Dedicated AI subtopics within NSF SBIR/STTR for small businesses developing cutting-edge AI technologies.
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Or search similar grants →Extracted from the funder's website rather than a specific solicitation. Confirm program details with the funder.
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. small businesses with fewer than 500 employees meeting SBIR/STTR eligibility. Confirm the full requirements on the funder's own website before applying.
The current listing shows phase I up to $305,000. Verify award ceilings, matching requirements, and allowable costs on the funder's own website.
This listing does not include a published deadline, but it is an annual program. Check the funder's own website 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 own website 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 funder's website linked on this page and look for its grants or funding section — the link goes to the funder's site rather than a specific solicitation.
NSF 27-500 replaces the MRI solicitation: no per-institution limit, no tracks, $50 million for about 60 awards, and a January 4–29, 2027 window. What changes for research offices.
Read articleOn October 28, 2026, NSF sent its revised Guidance on Financial Assistance to OMB after 3,277 public responses. The revision drops four provisions borrowed from OMB's unfinished 2 CFR 200 rewrite: no fixed-price awards, no publication costs, termination for convenience, and indirect costs subject to available funds. The final 30-day comment period runs through about November 27. Here is what changed, what didn't, and what research offices should do before the December 11 funding cliff.
Read articleNSF 26-022, the July 8, 2026 Dear Colleague Letter last updated October 27, says NSF will prohibit its funds from supporting research collaborations with entities on U.S. restricted-party lists in FY2027, on the same timeline as the Guidance on Financial Assistance. Authorized organizational representatives and senior/key personnel will certify compliance at proposal submission. Here is what is covered, what is still undefined, and a 60-day plan for research offices and PIs.
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