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The DoD Replicator Initiative, led by the Deputy Secretary of Defense and executed through the Defense Innovation Unit and the military services, accelerates the acquisition and fielding of attritable autonomous systems at scale, with a particular focus on AI-enabled unmanned aerial, surface, and subsurface platforms.
Replicator Tranche 1 (FY2024-FY2025) focused on autonomous unmanned systems for the Indo-Pacific theater; Tranche 2 expands the scope to counter-UAS and additional autonomy categories. The initiative is a primary commercial-pull vehicle for AI startups building autonomy stacks, swarming behavior, computer-vision targeting, and edge AI for resource-constrained platforms.
Awards flow through DIU Commercial Solutions Openings, service-specific Other Transaction Authorities, and SBIR/STTR vehicles aligned with Replicator priorities.
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Or search similar grants →According to the current listing, eligibility includes: U.S. small businesses, mid-tier defense technology companies, non-traditional defense contractors, and primes capable of delivering autonomous systems or AI autonomy software at scale. Vendors must be eligible for DoD contracts and meet supply-chain security requirements. Most awards are structured as Other Transaction Agreements or production contracts following DIU prototype efforts. Confirm the full requirements in the official notice before applying.
The current listing shows initial Replicator tranche of approximately $1,000,000,000 across FY2024-FY2025 with continued FY2026 appropriations supporting one-way attack drones, autonomous maritime vehicles, counter-drone systems, and supporting AI software. Vendor contract sizes typically range from $5,000,000 to $200,000,000 depending on platform class and quantity. Verify award ceilings, matching requirements, and allowable costs in the official notice.
DoD Replicator Initiative for Scaled Autonomous Systems Acquisition is funded by U.S. Department of Defense (Office of the Secretary of Defense) and Defense Innovation Unit (DIU). 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.
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