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Artificial Intelligence (AI) - NSF Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) is sponsored by U.S. National Science Foundation (NSF). This 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.
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NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs (SBIR/STTR Phase I) | NSF - U.S. National Science Foundation NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs (SBIR/STTR Phase I) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports startups and small businesses to transform scientific discovery into products and services with commercial and societal impact.
Phase I funding goes to build a proof-of-concept. Supports startups and small businesses to transform scientific discovery into products and services with commercial and societal impact. Phase I funding goes to build a proof-of-concept.
The NSF SBIR/STTR programs provide non-dilutive funds for use-inspired research and development (R&D) of unproven, leading-edge, technology innovations that address societal challenges.
By investing federal research and development funds into startups and small businesses, NSF helps build a strong national economy and stimulates the creation of novel products, services, and solutions in the private sector; strengthens the role of small business in meeting federal research and development needs; increases the commercial application of federally-supported research results; and develops and increases the U.S. workforce, especially by fostering and encouraging participation by socially and economically-disadvantaged and women-owned small businesses.
NSF seeks unproven, leading-edge technology innovations that demonstrate the following characteristics: The innovations are underpinned and enabled by a new scientific discovery or meaningful engineering innovation. The innovations still require intensive technical research and development to be fully embedded in a reliable product or service.
The innovations have not yet been reduced to practice by anyone and it is not guaranteed, at present, that doing so is technically possible. The innovations provide a strong competitive advantage that are not easily replicable by competitors (even technically proficient ones).
Once reduced to practice, the innovations are expected to result in a product or service that would either be disruptive to existing markets or create new markets/new market segments. The NSF SBIR/STTR programs fund broadly across scientific and engineering disciplines and do not solicit specific technologies or procure goods and services from startups and small businesses. The funding provided is non-dilutive.
Any invention conceived or reduced to practice with the assistance of SBIR/STTR funding is subject to the Bayh-Dole Act. For more information, refer to the SBIR/STTR Frequently Asked Questions, #75 . NSF encourages input and participation from the full spectrum of diverse talent that society has to offer which includes underrepresented and underserved communities.
This program is governed by 15 U.S.C. 638 and the National Science Foundation Act of 1950, as amended ( 42 U.S.C. 1861 et seq.
). The SBIR and STTR programs, initiated at NSF, were established in 1982 as part of the Small Business Innovation Development Act.
The NSF SBIR/STTR programs focus on stimulating technical innovation from diverse entrepreneurs and startups by translating new scientific and engineering discoveries emerging from the private sector, federal labs, and academia into products and services that can be scaled and commercialized into sustainable businesses with significant societal benefits.
The NSF SBIR/STTR programs are now part of the Directorate for Technology, Innovation and Partnerships (TIP) , which was recently launched to accelerate innovation and enhance economic competitiveness by catalyzing partnerships and investments that strengthen the links between fundamental research and technology development, deployment, and use.
June 26, 2025 - Office Hours: Preparing your NSF SBIR/STTR Phase I Proposal June 10, 2025 - Office Hours: Preparing your NSF SBIR/STTR Phase I Proposal May 6, 2025 - Office Hours: Intro to America’s Seed Fund at NSF March 18, 2025 - Office Hours: Intro to America’s Seed Fund at NSF February 27, 2025 - Office Hours: Preparing your NSF SBIR/STTR Phase I Proposal February 6, 2025 - Office Hours: Intro to America’s Seed Fund at NSF January 23, 2025 - Office Hours: Preparing your NSF SBIR/STTR Phase I Proposal January 16, 2025 - Office Hours: Intro to America’s Seed Fund at NSF December 5, 2024 - Office Hours: Preparing your Phase I Proposal for America’s… September 27, 2022 - Intro to NSF’s Directorate for Technology, Innovation and… Additional program resources NSF SBIR/STTR Seed Fund Site Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Technology, Innovation and Partnerships (TIP) Division of Translational Impacts (TIP/TI)
Key questions and narrative sections extracted from the solicitation.
Project description (10–15 pages addressing innovation, technical approach, and R&D plan)
Commercialization strategy
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 (SBIR/STTR programs typically provide seed funding in phases) 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.
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.
Expanding K-12 Resources For AI Education is sponsored by U.S. National Science Foundation (NSF). This Dear Colleague Letter (DCL) invites supplemental funding proposals from existing NSF awardees with K-12 AI or computer science education experience. The aim is to refine, scale, evaluate, and/or implement established K-12 activities related to AI education. Proposed efforts should align with themes such as teacher professional development, curricula and instructional materials, and technology and tools for AI education.
National Artificial Intelligence Research Resource (NAIRR) Pilot is sponsored by U.S. National Science Foundation (NSF). The NAIRR Pilot is a public-private initiative connecting U.S. researchers and educators to advanced computational and data platforms, datasets, software, AI models, and technological expertise to accelerate AI-driven discovery and innovation. While broad in scope, research into trustworthy AI, human-AI interaction, and the societal implications of AI (including in sectors like hospitality and tourism) would be relevant.