1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Artificial Intelligence/Machine Learning (Army SBIR|STTR Program) is sponsored by U.S. Department of Defense (DOD) - Army. The Army SBIR|STTR Program aligns innovative small businesses with critical U.S. Army priorities. This includes Artificial Intelligence/Machine Learning for areas such as synthetic data generation, automated detection and prevention, biometrics, natural language technology, explainable AI, and cyber defense.
The program funds small businesses developing dual-use technologies with military and commercial applications.
Get alerted about grants like this
Save a search for “U.S. Department of Defense (DOD) - Army” or related topics and get emailed when new opportunities appear.
Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Artificial Intelligence/Machine Learning – Army SBIR|STTR Program Artificial Intelligence/Machine Learning supply chain management, logistics coordination, target identifications and simulation Symbiotic UAS Delivery System (SCBDS) This topic seeks innovative research and development efforts that allow Soldiers to conduct multiple fire and forget kinetic strikes from an ATR-capable Group 2 or Group 3 UAS.
Predict, Optimize, Recommend, and Track for Adaptive Logistics (PORTAL) Develop an AI-enabled predictive logistics software solution, to be used at the Brigade level and below, capable of operating in contested environments, providing real-time tracking, predictive analysis, and AI-generated Courses of Action (COAs) to optimize logistical flow and facilitate mission success.
Mechanics and Control of Autonomous Legged Robotic Systems in Mud Successful execution of research and development under this topic will produce a quadruped robot and control architecture that enables faster-than-creep gait in deep muddy environments.
AI-tool for Data Quality Management of Human Resources Database The aim of this topic is to harness advanced artificial intelligence/machine-learning (AI/ML) technologies to enhance The Integrated Personnel and Pay System- Army (IPPS-A) by achieving the following objectives: Human Resources/Pay Data Quality Enhancement: Ensure high data integrity and reliability and develop generative AI or ML solutions to identify and rectify data inaccuracies, inconsistencies, and complete missing information.
HR/Pay Anomaly Detection and Prevention: Implement AI-driven mechanisms to detect anomalies, prevent data duplication, and ensure ongoing data quality improvement, adapting to evolving operational needs. The U.S. Army is seeking innovative technology solutions from eligible small businesses across the U.S. through the Expeditionary Technology Search (xTechSearch) competition.
This platform offers participants the opportunity to pitch novel technology solutions—whether a new application for an existing technology or an entirely new technology concept—to the Army, engage with the Department of Defense (DoD), earn prize money, join an accelerator program, and winners will have the opportunity to submit a Phase I Army Small Business Innovation Research (SBIR) proposal.
xTechOverwatch Open Topic The Army SBIR program is partnering with the xTech program to launch xTechOverwatch, a prize competition designed to identify and advance cutting-edge technology solutions for the Army.
With up to $1 million in cash prizes, this competition provides small businesses with a unique opportunity to showcase their innovations while receiving valuable feedback from technical experts, acquisition professionals, and end-users. The U.S. Army Pacific (USARPAC) is interested in finding and developing capabilities that work for the Warfighter by experimenting early, often, and in-theater.
Context-Aware Decision Support Develop innovative capabilities that provide commanders with real-time, context-aware summaries and actionable insights by integrating dynamic data, enabling informed, unbiased decision-making that enhances training effectiveness and mission success.
AI-enabled Portfolio Management This platform will integrate tools and best practices in a central portal to modernize the Army’s acquisition process, supporting both Business-to-Business (B2B) and Business-to-Consumer (B2C) needs AI Enabled Source Selection Solution for Contract Proposal Evaluation Provide a comprehensive software-as-a-service (SaaS) solution that automates and standardizes the evaluation and source selection processes while tailoring the user experience to the Army’s unique conditions/constraints.
Assistant Secretary of the Army for Acquisition, Logistics, and Technology ASA(ALT) releases contract opportunities on an ad-hoc basis to meet Army research and development needs. Army Futures Command (AFC) releases topics during three specific solicitation periods throughout the fiscal year to address the Army’s current and anticipated war-fighting technology needs.
Army STTR follows AFC’s topic release schedule but partners with a university, federally funded research and development center, or a qualified non-profit research institution as part of their contract. Is the opportunity to establish the scientific, technical, commercial merit and feasibility of your proposed innovation. Is focused on the development, demonstration and delivery of your innovation from Phase I.
Represents the commercialization phase of the program in which the company can market their products or services developed in Phase II, either to the government or in the commercial sector. Allows small businesses to submit to Direct to Phase II applications if they performed the Phase I research through other funding sources. Provides funding to projects that require additional funding during their open Phase II contract.
A Phase II Awardee may receive one additional, sequential Phase II award to continue the work of an initial Phase II award. The sequential Phase II award has the same guideline amounts and limits as an initial Phase II award.
Artificial Intelligence/Machine Learning (supply chain management, logistics coordination, target identifications and simulation) Advanced Materials and Manufacturing (additive manufacturing) Autonomy (unmanned systems, drones, ground vehicle capabilities) Chemical and Biological (detection, defense) Cyber (biometric authentication, secure communications) Electronics (microelectronics, Very-Large-Scale Integration (VLSI)) Electronic Warfare (jamming, spoofing) Human Performance (wearables) Immersive (augmented reality, virtual reality, mixed reality) Network Technologies (antennas, radio frequency, communications systems) Position, Navigation, and Timing (GPS) Power (batteries, generators) Software Modernization (high performance computing, data management and visualization) Sensors (infrared sensing) Weapons Systems (hypersonics, munitions and projectiles, directed energy)
According to the current listing, eligibility includes: Small businesses. Funded work must take place in the United States. The project's principal investigator must be legally employed at least 20 hours a week by the company seeking funding. Confirm the full requirements in the official notice before applying.
The current listing shows up to $300,000 (Phase I). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Artificial Intelligence/Machine Learning (Army SBIR|STTR Program) is funded by U.S. Department of Defense (DOD) - Army. 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.
Past winners and funding trends for this program
The OCRP Outcomes Consortium Development Award supports a multi-institutional research effort conducted by leading ovarian cancer researchers and consumer advocates that specifically focuses on identifying and understanding predictors of disease outcomes in ovarian cancer patients. This effort will be executed through a two-stage approach using two separate award mechanisms: this FY12 Outcomes Consortium Development Award, which will enable the consortium to lay the groundwork for the research project, including proof of concept, and the FY14 Outcomes Consortium Award, which will support the execution of the full research project. Funding Opportunity Number: W81XWH-12-OCRP-OCDA. Assistance Listing: 12.420. Funding Instrument: CA,G. Category: ST. Award Amount: $1.3M total program funding.
Small Business Innovation Research (SBIR) Program 25.1 Solicitation is sponsored by Department of Homeland Security (DHS) Science and Technology Directorate (S&T). The DHS SBIR Program invites U.S. small businesses to submit research proposals addressing technology needs in fentanyl source profiling, data analysis tools, digital injection attack prevention, and wired interconnection cables or adapters.
Operation Stonegarden (OPSG) is a federal grant program administered by FEMA through the Office of the Governor's Public Safety Office that funds enhanced border security cooperation among Customs and Border Protection (CBP), U.S. Border Patrol, and state, local, tribal, and territorial law enforcement agencies. The program supports joint operations to secure land and water border routes, improve intelligence sharing, and expand 287(g) screening operations within correctional facilities. In 2025, the national priority is Supporting Border Crisis Response and Enforcement, covering training, operational coordination, and risk management. Eligible expenses include operational overtime costs, staffing support for screening activities, and training programs in immigration law, civil rights protections, and 287(g) procedures.
BioMADE just funded 14 projects spanning lithium extraction, AI-driven protein engineering, and veteran workforce programs. The first-ever NSF partnership changes how basic research reaches production.
Read articleDARPA transferred its first autonomous-ready H-60Mx Black Hawk to the Army on March 20, capping a decade of ALIAS research. Now the same technology underpins an SBIR XL opportunity for small businesses building wildfire autonomy.
Read articleThe Department of Defense is expected to publish SBIR topics first after reauthorization. Here is what to expect from the Army, Navy, Air Force, Space Force, and DARPA solicitations.
Read article