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GeoPEX is AFRL's standing open broad agency announcement for geospatial intelligence processing and exploitation, and it is one of the more practical routes into Air Force AI funding for teams working on imagery and sensor analytics.
The announcement covers research, development, integration, test and evaluation of technologies providing geospatial intelligence in all its forms and from any source - imagery, imagery intelligence, or geospatial data and information.
The AI-relevant content sits in its emphasis on full-spectrum GEOINT, AI and machine learning techniques for imagery exploitation, multi-source data integration and sensor fusion, autonomous geospatial reasoning, intelligent processing pipelines, cloud-based high-performance computing and photogrammetry. The mechanics are what distinguish it from a conventional solicitation.
It is an open, two-step BAA effective until 30 September 2026: initial submissions are white papers only, and full proposals are accepted by invitation. That structure is a significant advantage for smaller teams, because the cost of entry is a white paper rather than a full proposal package, and AFRL uses the white paper stage to steer effort toward technically relevant work before anyone invests in a formal proposal.
Submissions are accepted on a rolling basis rather than against a single closing date, so timing against AFRL fiscal-year funding cycles matters more than any published deadline. Individual awards normally run 250,000 to 10,000,000 dollars over up to 24 months, against approximately 99. 9 million dollars of total BAA funding.
The full announcement and submission instructions are posted on SAM. gov.
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Or search similar grants →According to the current listing, eligibility includes: Open to a broad range of performers including businesses, small businesses, universities and nonprofit research organizations; as a defense BAA, awards are subject to standard U.S. Government contracting requirements, and some resulting work may carry export control, facility clearance or U.S.-person restrictions depending on the technical area and classification level - prospective applicants should confirm these against the announcement text before investing effort. Submission is a two-step process: only white papers are accepted as initial submissions, and formal proposals are accepted by invitation only. The BAA (FA8750-23-S-0003, follow-on to FA8750-17-S-7004) is open and effective until 30 September 2026 with rolling submission, so proposers should target AFRL fiscal-year planning windows rather than a single deadline. Individual awards normally do not exceed 24 months, with dollar amounts normally ranging from 250,000 to 10,000,000 US dollars, against total BAA funding of approximately 99,900,000 dollars. Technical scope is geospatial intelligence in all forms - imagery, imagery intelligence, geospatial data and information - with AI and machine learning relevance in sensor fusion, machine learning for imagery exploitation, multi-source data integration, autonomous geospatial reasoning and intelligent processing pipelines. Consult the full announcement on SAM.gov for current white paper instructions, points of contact, and any amendments or follow-on BAA before submitting. Confirm the full requirements in the official notice before applying.
The current listing shows total funding for the BAA is approximately 99,900,000 US dollars across its full life, with individual awards normally ranging from 250,000 to 10,000,000 dollars and periods of performance normally not exceeding 24 months. amount_min is set to 250,000 and amount_max to 10,000,000, matching the published per-award range rather than the ceiling for the whole announcement. Two practical notes. First, the range is described as the normal case, not a hard cap, so unusually large efforts can be entertained within the overall ceiling, but a proposal built around a figure well above 10 million dollars is fighting the announcement's own framing. Second, because this is a rolling open BAA rather than a single-deadline competition, the funds available in any given fiscal year are a fraction of the 99.9 million dollar total - submissions timed against AFRL's fiscal-year planning cycle fare better than submissions arriving late in a year when the money is already committed. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for AFRL Geospatial Intelligence Processing and Exploitation (GeoPEX) Open Broad Agency Announcement FA8750-23-S-0003 for AI and Machine Learning GEOINT 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) Open Broad Agency Announcement FA8750-23-S-0003 for AI and Machine Learning GEOINT Technologies is funded by U.S. Air Force Research Laboratory (AFRL), Information Directorate (Rome, NY). 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
FA955026S0003 posted September 8 with full proposals due December 4, 2026 — but a five-page white paper is required by October 9, questions close September 17, and the PhD window admits degrees earned after April 1, 2019 only. At $450,000 over three years with no collaborators permitted, this is the most restrictive of the three service early-career programs and the only one with an LPS quantum carve-out.
Read articleAFOSR's open Broad Agency Announcement — the single front door to Air Force basic research funding — closed on March 23, 2026 for mandatory review under Executive Order 14332, and proposals submitted in its final week must be resubmitted to a replacement that has no posted date. Meanwhile NRL's Long Range BAA takes white papers only through September 30, and the Air Force's new $99 million command-and-control BAA runs to 2028 with a March 15, 2027 white paper date for FY28 money. A field guide to the rolling-solicitation channel while it is in flux.
Read articleTitle 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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