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Artificial Intelligence Grant – NSF SBIR is sponsored by National Science Foundation (NSF). The NSF SBIR Artificial Intelligence topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient.
This includes novel AI hardware, sustainable AI for low-resource environments, and technologies for trustworthy AI.
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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.
Scoring criteria used to review proposals for this grant.
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. NSF does not fund companies majority-owned by multiple venture capital firms, private equity firms, or hedge funds. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 16, 2026. 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.
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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.
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Past winners and funding trends for this program
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.
Experiential Learning for Emerging and Novel Technologies (ExLENT) is sponsored by National Science Foundation (NSF). The ExLENT program supports experiential learning opportunities that provide individuals, including adult learners interested in re-skilling and/or upskilling, with crucial skills for emerging technology fields. It promotes cross-sector partnerships and aims to develop a workforce aligned with regional economies based on emerging 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.
Academic Grant Program is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals for the NVIDIA Graduate Fellowship Program are also invited, focusing on AI, robotics, and autonomous vehicles.
Manufacturing USA Institute – AI for Resilient Manufacturing is sponsored by National Institute of Standards and Technology (NIST). NIST is seeking applications to establish and operate a Manufacturing USA institute focused on leveraging artificial intelligence to strengthen the resilience of U.S. manufacturers, particularly concerning supply chain networks. The institute will conduct applied R&D projects and cultivate a skilled workforce.
America's Seed Fund (SBIR/STTR) - Cybersecurity and Authentication is sponsored by U.S. National Science Foundation (NSF). Supports startups and small businesses to translate research into products and services, including cybersecurity and authentication, to secure national defense and protect the public. Includes research requiring privacy and security-preserving resources for artificial intelligence.