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Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) - Artificial Intelligence (AI) is sponsored by U.S. National Science Foundation (NSF). This opportunity supports startups and small businesses to translate AI research into products and services, including AI systems and AI-based hardware, for the public good.
It emphasizes next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. The program also includes cutting-edge hardware technologies for sustainable AI and intelligent edge devices.
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Search similar grants →Key questions and narrative sections extracted from the solicitation.
Project description (10–15 pages addressing innovation, technical approach, and R&D plan)
Commercialization strategy
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% equity owned by U.S. citizens or permanent residents. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $275,000 for Phase I, up to $1,250,000 for Phase II 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.
Past winners and funding trends for this program
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.