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The U.S. Army's SBIR/STTR Artificial Intelligence/Machine Learning Open Topic provides non-dilutive funding to small businesses developing AI and machine learning solutions for defense applications such as supply chain management, logistics coordination, target identification, and modeling and simulation.
Awards follow the standard SBIR/STTR structure: Phase I establishes technical feasibility (typically up to about $250,000) and Phase II funds development and demonstration (typically up to about $2,000,000), with Phase III for commercialization. Open-topic solicitations accept proposals on a periodic basis.
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Or search similar grants →According to the current listing, eligibility includes: U.S. small businesses (fewer than 500 employees, majority U.S.-owned); STTR requires partnership with a U.S. research institution. Confirm the full requirements in the official notice before applying.
The current listing shows non-dilutive SBIR/STTR awards; Phase I typically up to ~$250,000 and Phase II typically up to ~$2,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for U.S. Army SBIR/STTR Artificial Intelligence and Machine Learning Open Topic for Small Business Innovation are due October 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
U.S. Army SBIR/STTR Artificial Intelligence and Machine Learning Open Topic for Small Business Innovation is funded by U.S. Department of the Army (Army SBIR|STTR Program, Office of the Assistant Secretary of the Army for Acquisition, Logistics and Technology). 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 Army Applications Lab's DevX Autonomy open call seeks commercial autonomous and unmanned system solutions that can address Army capability gaps in maneuver, sustainment, and force protection. The solicitation accepts proposals on a rolling monthly basis through August 31, 2026, and is targeted at non-traditional defense vendors with autonomy software, AI perception systems, and unmanned ground or aerial platforms. AAL provides early access to Army end users for problem refinement, prototype evaluation, and transition planning. Awards are structured as Other Transaction Agreements, with awards typically between $500K and $2M and a pathway to follow-on Army programs of record. AAL is part of the U.S. Army Futures Command innovation portfolio.
AFRL's Geospatial Intelligence Processing and Exploitation (GeoPEX) BAA seeks white papers for research, development, integration, test and evaluation of technologies and techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source — imagery, imagery intelligence, or geospatial data and information. The open, two-step BAA prioritizes AI-enabled sensor fusion, machine learning for imagery exploitation, multi-source data integration, autonomous geospatial reasoning, and intelligent processing pipelines. Total funding approximately $99.9M with individual awards typically $250K to $10M over up to 24 months. White papers accepted on a rolling basis until September 30, 2026; formal proposals are by invitation only.
DARPA's TIAMAT (Transfer from Imprecise and Abstract Models to Autonomous Technologies) program develops sim-to-real transfer techniques that train autonomous systems in low-fidelity, abstract simulations and reliably deploy them in unpredictable physical environments. Research targets foundations for rapid sim-to-real generalization, robustness to physics-model error, and transfer learning across morphology and sensor configurations. The program is structured as two 18-month phases and supports applications including ground autonomy, aerial autonomy, and robotic manipulation in adversarial, novel, or contested settings. Awards have included University of Central Florida ($1.2M) and other academic and industry performers. TIAMAT is a core DARPA investment in foundational autonomy R&D.
On June 3, the Department of the Navy pre-released FY26 Release 3 SBIR/STTR — 12 conventional BAA topics and a Counter-Unmanned Air Systems Commercial Solutions Opening. Topics span adaptive sensor management, anomalous behavior detection, satellite imagery optimization, real-time zero-trust data for combat systems, and gun weapon systems modernization. The proposal window runs June 24 to July 22, 2026. The technical questions cutoff is June 23. NAVAIR and NAVSEA are hosting a Counter-UAS webinar on June 16. Here is what the topic mix actually signals about Navy priorities and how small businesses should position.
Read articleAfter SBIR reauthorization, the U.S. Army released five new small-business topics under Army FUZE — Ka-Band metamaterial radar, a Li-ion 6T battery open topic, in-transit-visibility blockchain, modular UAS payloads, and the xTech|Phantum prize competition. Awards run from $150K to $300K per Phase I. But the bigger story is the Army's shift from funding parts to funding whole systems. Here is what each topic funds and how to compete.
Read articleFor Program Year 2026, NASA replaced its single January SBIR/STTR solicitation with a Broad Agency Announcement that releases topics in appendices throughout the year — with proposal limits resetting each time. Phase I awards now run up to $225,000. Here is what the structural shift means, why it favors prepared companies, and how to build a year-round SBIR strategy around it.
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