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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 Office of Naval Research Young Investigator Program, established in 1985, is the Navy's principal early-career research award and one of the largest such programmes in the US federal government, typically providing 750,000 US dollars over three years to faculty in their first or second tenure-track appointment. Machine learning, autonomous operations and dexterous robotics are consistently represented among funded topics: the FY2026 cohort of 23 awardees, drawn from 22 institutions in 11 states and sharing roughly 17,000,000 US dollars, included work on machine learning, autonomous operations, dexterous robotics, advanced sensors and decision superiority alongside more traditional naval science areas such as ocean acoustics and hypersonics. The FY2027 competition is open under announcement N0001426SF004, with white papers due 30 October 2026. What distinguishes ONR's programme from its Air Force and Army counterparts is both the award size and the tight coupling to programme officer interests: proposals are evaluated against the research areas described by ONR's Science and Technology Departments, and the expected practice is that a prospective applicant contacts the relevant programme officer before writing. For AI and robotics researchers specifically, ONR's interests skew toward autonomy in contested and communications-denied maritime environments, human-machine teaming under uncertainty, multi-agent coordination, and machine learning on sparse, noisy or adversarially corrupted sensor data, which is a meaningfully different framing from the data-rich settings that dominate academic machine learning.
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.
DARPA's REMA (Rapid Experimental Missionized Autonomy) program enhances commercially available and stock military drones by adding an autonomy subsystem that increases the drone's capability and renders ineffective adversaries' electromagnetic countermeasures that disrupt operator-drone communication. The single-phase program develops a drone-autonomy adapter interface and mission-specific autonomy software, utilizing accelerating development spirals for tactical deployment. Focus areas include onboard AI inference for navigation, target recognition, and mission continuation in GPS-denied and jammed environments; foundation models for tactical autonomy; and modular autonomy stacks compatible with diverse commercial drone platforms. Managed by DARPA TTO under PM Phillip Smith.
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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