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"DOE SBIR/STTR FY2026 Small Business Funding for AI and Machine Learning in Energy Science" is currently closed and not accepting applications.
The U.S. Department of Energy's SBIR/STTR program funds early-stage research and development by U.S. small businesses aligned with DOE science and technology priorities, including artificial intelligence and machine learning applied across advanced scientific computing, basic energy sciences, high energy physics, nuclear physics, and fusion energy.
Recent topic cycles explicitly solicit AI/ML approaches such as machine learning for accelerator and detector operations, AI-driven materials and chemistry discovery, autonomous experimentation, and scientific foundation models. The program runs multiple release cycles per fiscal year (Phase I Release 1 and Release 2, plus Phase II), each requiring a Letter of Intent prior to a full application.
Phase I awards fund feasibility studies up to roughly $200,000, with competitively selected projects eligible for substantially larger Phase II development awards.
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Or search similar grants →According to the current listing, eligibility includes: U.S. for-profit small businesses meeting SBA size standards (fewer than 500 employees). STTR requires partnership with a U.S. research institution. A Letter of Intent is required before full application submission. Principal investigator employment requirements apply per SBIR/STTR policy. Confirm the full requirements in the official notice before applying.
The current listing shows phase I awards up to approximately $200,000 USD for ~6-9 months of feasibility research; Phase II awards up to approximately $1,700,000 USD for prototype development. Non-dilutive grant funding. Multiple release cycles per fiscal year. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 7, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DOE SBIR/STTR FY2026 Small Business Funding for AI and Machine Learning in Energy Science is funded by U.S. Department of Energy (DOE) Office of Science / Office of Technology Commercialization. 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 Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
The Department of Energy's Advanced Materials and Manufacturing Technologies Office (AMMTO) Smart Manufacturing Funding Opportunity Announcement (DE-FOA-0003329) provides up to $33 million to fund high-impact applied research, development, and demonstration projects that use digitization, artificial intelligence, machine learning, and physics-informed models to improve the technical performance, efficiency, productivity, and competitiveness of U.S. manufacturing. Areas of interest include AI- and ML-driven automation integrating hardware and software systems into manufacturing tooling and equipment, manufacturing asset management for system performance optimization (cost, quality, throughput), intelligent materials identification and sorting for circular economy outcomes, and digital twin platforms supporting clean energy manufacturing. The FOA aligns with the DOE Industrial Decarbonization Roadmap and supports the broader Manufacturing USA Smart Manufacturing strategy.
On July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleOn July 22, 2026 the White House committed more than $5 billion to expand the Genesis Mission — the government-wide 'AI for science' effort — announcing 278 first projects and 14 National Science and Technology Challenges spanning health, energy, infrastructure, manufacturing, and national security. More than 15 federal agencies are contributing awards, datasets, and facilities. Here is how the pieces fit, why it reorganizes the science-funding map, and how to position for the awards flowing out of it.
Read articleOn July 22, 2026 the White House announced more than $5 billion and 15-plus federal agencies behind the Genesis Mission — a national effort to point AI at the hardest problems in science. Here is what the mission actually funds, how its five National Science and Technology Challenges map to real solicitations already opening, and how a research team or small business should position for the money flowing out of it.
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