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The CDAO Tradewinds Solutions Marketplace (TSM) is a continuously open digital acquisition ecosystem operated by the Department of Defense's Chief Digital and Artificial Intelligence Office to rapidly procure commercial AI, machine learning, data analytics, and digital transformation solutions.
Unlike traditional defense procurement, Tradewinds uses competitive vendor-submitted video pitches rigorously evaluated against federal standards to identify awardable solutions. Companies assessed as 'Awardable' are listed in the marketplace and can receive contract awards with an average procurement action lead time (PALT) of just 51 days — dramatically faster than traditional defense contracting.
The platform is specifically designed to lower barriers for non-traditional defense contractors: 88% of Tradewinds contract awards go to companies without significant prior DoD contracting history. The FY2025 CDAO budget was $139. 9 million, and over $200 million was awarded to commercial providers through the platform.
Focus areas include AI capability procurement, data analytics, digital transformation, and emerging technology solutions for defense missions. The marketplace supports the Pentagon's January 2026 AI Strategy emphasis on decision-support AI, logistics and predictive maintenance AI, and autonomous systems integration.
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Or search similar grants →According to the current listing, eligibility includes: Commercial AI and technology companies, including those without prior defense contracting experience. No cleared facilities required. Must be able to demonstrate mature AI products with defense use-case application. Companies submit video pitches that are evaluated for awardability. Confirm the full requirements in the official notice before applying.
The current listing shows contract awards vary. FY2025 CDAO budget: $139.9 million. Over $200 million awarded to commercial providers in 2025. Individual contract values range from approximately $100,000 to $10,000,000+ depending on capability and scope. Verify award ceilings, matching requirements, and allowable costs in the official notice.
CDAO Tradewinds Solutions Marketplace for Commercial AI and Machine Learning Defense Solutions is funded by Chief Digital and Artificial Intelligence Office (CDAO), Department of Defense. 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
NSF announced three more X-Labs topics on September 16, 2026 — Artificial Intelligence for Physical Systems is live, with Sequence to Function and Computation at the Limit of Physics coming this fall. The Q&A webinar is October 14 and an RFI on future topics closes October 30. The per-topic key-personnel restriction is what should be driving your team-building decisions.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleThe Gates Foundation committed at least $1 billion over two years to equitable AI alongside its 10th Goalkeepers Report — 40% education, 40% health, 10% agriculture, 10% digital infrastructure. Five days later, 60 organizations signed a five-year goal to reach 3.4 billion speakers of underrepresented languages. Here is how implementing nonprofits should read both.
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