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The NSF SBIR/STTR Artificial Intelligence topic provides non-dilutive seed funding for U.S. small businesses developing cutting-edge AI technologies.
The program supports eight specific AI subtopics: AI1 Cognitive Science-based Technologies, AI2 Computer Vision, AI3 Conversational AI, AI4 Language-Based AI, AI5 Novel AI Hardware (neuromorphic computing, edge devices), AI6 Sustainable AI for Low Resource Environments, AI7 Trustworthy AI (safe, fair, transparent, privacy-preserving), and AI8 Other Novel Technologies.
Phase I provides up to $305,000 for proof-of-concept work over 6-12 months, while Phase II adds up to $1,250,000 for full technology development over 24 months. NSF takes zero equity and companies retain full IP ownership. Note: As of early 2026, NSF has temporarily paused new Project Pitch submissions due to lapsed congressional SBIR authorization.
The program is expected to resume once Congress reauthorizes. Historically, roughly 15-20% of Phase I proposals receive funding.
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Or search similar grants →According to the current listing, eligibility includes: U.S. small businesses with fewer than 500 employees. At least 50% equity owned by U.S. citizens or permanent residents. Cannot be majority-owned by venture capital, private equity, or hedge funds. All funded work must take place in the United States. Principal investigator must be employed minimum 20 hours weekly and commit at least one month (173 hours) per 6-month period. Confirm the full requirements in the official notice before applying.
The current listing shows phase I: up to $305,000 for 6-12 months (proof of concept). Phase II: up to $1,250,000 for 24 months (technology development). NSF takes zero equity. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF SBIR STTR Artificial Intelligence Topic for AI Startup Seed Funding is funded by National Science Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
DICE asks for something most multi-agent AI research quietly assumes away: a collective of heterogeneous AI agents that holds its mission together with no central controller, under active adversarial pressure, over long time horizons, and still stays under human control. Issued by DARPA's Information Processing Techniques Office as BAA HR001126S0010 on June 10, 2026 with Susmit Jha as program manager, the program funds the theory and algorithms for decentralized coordination and local inference control rather than fielded systems - all demonstration and evaluation is in simulation, which meaningfully lowers the barrier for university and software-only teams that cannot support hardware integration. The work splits into three technical areas: TA1 decentralized coordination and consensus, TA2 local inference control that keeps individual agents role-coherent and mission-aligned without global oversight, and TA3 testing and evaluation in simulation. TA2 is the conceptual core and the hardest sell - it targets the failure mode where individually reasonable agents drift collectively off mission, which is precisely the behavior that makes decentralized LLM-agent swarms unusable for defense today. The program runs 36 months in three phases: 9 months for Phase 1 (Decentralization), 15 months for Phase 2 (Adversarial Robustness), and 12 months for Phase 3 (Scale), so proposals must show a credible path through adversarial robustness rather than only demonstrating clean-environment coordination. DARPA has not published an award ceiling; multiple awards are anticipated and DARPA may use Procurement Contracts, Other Transaction Agreements or Cooperative Agreements, meaning nontraditional performers can structure around an OTA. A Proposers Day was held under DARPA-SN-26-72. Full proposals are due August 25, 2026, so teams engaging now are at the deadline and should look to abstract feedback and any amendment extensions.
NSF 26-516 folds Atmospheric and Geospace Sciences, Earth Sciences and Ocean Sciences into a single GEO Core solicitation: $110 million, 200 to 350 awards, proposals accepted anytime. Geosciences piloted no-deadline review nine years ago and knows what it does to submission volume. Here is the per-award math, the ship-time and permitting traps, and the two-year data-archive clock that now governs every award.
Read articleNSF 26-520 consolidates 14 mathematical sciences programs into $200 million and 400 to 600 awards with no per-PI cap and no deadline. Folded into it are Research Training Groups and Focused Research Groups — department-scale, cohort-building competitions that ran on a fixed annual date. Here is why removing that date is a different kind of change for training grants than for single-investigator grants, and what math departments should do before the fall.
Read articleNSF 26-522 consolidates AAG, ATI and MSIP into a single astronomical sciences solicitation with $100 million and about 140 awards. Accomplishment-based renewals will be returned without review, voluntary cost sharing is prohibited, and routine instrument upgrades are explicitly deprioritized. The new Innovations track — one to three awards a year — is where facility operations and community observing time now live.
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