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"AFRL MUSTER Multi-Spectral Sensing Technologies Research and Development BAA for AI/ML-Enabled Sensing" is currently closed and not accepting applications.
AFRL's Multi-Spectral Sensing Technologies Research and Development (MUSTER) BAA funds innovative R&D in advanced radio frequency and electro-optical/infrared sensing across 13 technical areas, explicitly including an Artificial Intelligence and Machine Learning funding category for AI-enabled sensor processing, exploitation, and autonomous threat analysis. The program carries an approximately $250 million ceiling with individual awards from $100K to $10M, and encourages small businesses, startups, and non-traditional contractors.
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Or search similar grants →According to the current listing, eligibility includes: Small businesses, startups, non-traditional contractors, mid-size and large defense firms, universities, and research institutions; foreign entities may not serve as prime contractors. Confirm the full requirements in the official notice before applying.
The current listing shows approximately $250 million total program ceiling; individual awards range from $100,000 to $10 million with performance periods of 12 to 48 months. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 20, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
AFRL MUSTER Multi-Spectral Sensing Technologies Research and Development BAA for AI/ML-Enabled Sensing is funded by U.S. Air Force Research Laboratory (AFRL) Sensors 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'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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