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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.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S. and certain foreign academic institutions, industry, FFRDCs, government labs, and non-profit research organizations. Some classified work requires appropriate facility clearances. Confirm the full requirements in the official notice before applying.
The current listing shows individual awards typically $250,000 to $10,000,000 over up to 24 months. Total BAA funding approximately $99.9 million. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for AFRL Geospatial Intelligence Processing and Exploitation GeoPEX Broad Agency Announcement for AI-Driven Geospatial Intelligence Technologies are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
AFRL Geospatial Intelligence Processing and Exploitation GeoPEX Broad Agency Announcement for AI-Driven Geospatial Intelligence Technologies is funded by Air Force Research Laboratory (AFRL) Information Directorate. 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.
AFRL Geospatial Intelligence Processing and Exploitation GeoPEX Broad Agency Announcement for AI-Driven Geospatial Intelligence Technologies is sponsored by Air Force Research Laboratory (AFRL) Information Directorate. 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, …
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 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.
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.
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.
Title III of the Defense Production Act lets the Pentagon hand non-dilutive capital to companies that expand domestic production of defense-critical materials and manufacturing — through a white-paper-first pathway run by the Air Force Research Laboratory (FA8650-19-S-5010) rather than a conventional grant competition. But the core DPA authorities sunset September 30, 2026 absent reauthorization, and the standing white-paper window has moved in and out of suspension. Here is how the Title III mechanism actually works, why it rewards companies that lead with a supply-chain vulnerability, and how to position before the authority cliff.
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