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IARPA COSMIC Commercial Observation AI for Spatio-temporal Geospatial Intelligence is sponsored by Intelligence Advanced Research Projects Activity (IARPA). IARPA's Commercial Observation for Spatio-temporal Monitoring for Indications of Change (COSMIC) program aims to integrate commercial remote sensing data and open-source geolocation information into dynamic geospatial models and develop an agentic AI analytic system capable of a…
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Commercial Observation for Spatio-temporal Monitoring for Indications of Change COSMIC will allow the Intelligence Community to integrate temporally relevant geospatial information and imagery to answer key questions. The aim of the COSMIC program is to formulate a methodology to leverage commercial remote sensing technologies and open-source geolocation information to generate pseudo-persistent data (PPD).
This will be done by combining and translating complex and novel data, such as non-nadir imagery and non-Red, Green, Blue (RGB) spectral bands, using artificial intelligence and computer vision-based methodologies into a layered, temporal geospatial model understandable by commercial agentic artificial intelligence (AI) systems.
COSMIC will enable the development of an agentic AI analytic system trained by commercial vendors and equipped to answer intelligence questions. COSMIC will foster routine updating and modelling of baseline geospatial information in areas through multi-source, persistent surveillance. New sensors will fluidly be incorporated into the generation of layered geospatial models as constellations and sources change over time.
In addition to improving the temporal resolution of layered geospatial models, COSMIC also aims to reduce resource demands by streamlining the extraction of actionable intelligence from these models.
By integrating commercial remote sensing data with existing geospatial information, the program aims to create a harmonized and up-to-date representation of the physical world that can be used by agentic processes to answer questions relevant to the IC. SAM. GOV CONTRACT OPPORTUNITY LINK ashwini.
deshpande@iarpa. gov EMERGING TECH ACCELERATOR (ETA)
According to the current listing, eligibility includes: U. S. -based prime contractors required. Small businesses, non-traditional defense contractors, and non-profits eligible. Foreign participation allowed as part of U. Confirm the full requirements in the official notice before applying.
The current listing shows multiple Prototype Other Transaction Agreement awards anticipated. Award amounts not pre-specified; typical IARPA performer awards range from $1,000,000 to $5,000,000 depending on scope and phase. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 30, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
IARPA COSMIC Commercial Observation AI for Spatio-temporal Geospatial Intelligence is funded by Intelligence Advanced Research Projects Activity (IARPA). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Commercial Observation for Spatio-Temporal Monitoring for Indications of Change (COSMIC) is sponsored by Intelligence Advanced Research Projects Activity (IARPA). The COSMIC program seeks to develop a methodology to leverage commercial remote sensing technologies and open-source geolocation information to generate pseudo-persistent data (PPD). COSMIC aims to create a methodology to rapidly integrate multiple sources of information into a unified framework to allow for incorporation into a layered GEOINT model or PPD. This framework should also allow the prediction and visualization of resolution and bands of data not provided for PPD construction through predictive processes such as image diffusion or other generative AI approaches.
IARPA's Commercial Observation for Spatio-temporal Monitoring for Indications of Change (COSMIC) program aims to integrate commercial remote sensing data and open-source geolocation information into dynamic geospatial models and develop an agentic AI analytic system capable of answering intelligence questions. The program is part of IARPA's Emerging Technology Accelerator (ETA) framework released in April 2026, supporting high-risk high-payoff R&D for the Intelligence Community. COSMIC seeks to create AI systems that generate pseudo-persistent geospatial intelligence from non-persistent commercial satellite and sensor data.
2026 WRIVA Cross-View Geo-Localization (CVGL) Challenge is a grant from the Intelligence Advanced Research Projects Activity (IARPA) that funds teams competing to advance the state of the art in associating ground-level images with satellite and aerial overhead observations for fine-grained geolocation. The challenge addresses near-orthogonal viewpoint differences, dramatic scale disparities, and occlusion effects that limit ground-to-satellite matching accuracy. Applications span geo-referencing of unlocalized photos, satellite data attribution, 3D scene reconstruction, digital twins, and environmental monitoring. The competition, hosted on IEEE DataPort, invites multidisciplinary teams from academia and industry with expertise in deep learning, cross-view retrieval, and multi-modal representation learning. Prize details and registration information are available on the IEEE DataPort challenge page.
DoD Multidisciplinary Research Program of the University Research Initiative (MURI) is sponsored by Department of Defense (DoD) - Office of Naval Research (ONR). The Multidisciplinary Research Program of the University Research Initiative (MURI), administered by the Department of Defense Office of Naval Research, supports basic research in science and engineering at U. S.
SBIR SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations is sponsored by U.S. Air Force. DOD SBIR topic SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations. Component: U.S. Air Force. Command: SDA. Solicitation: DoD SBIR 2025.4. Phase(s): D2PII, II, SPII. Status: Pre-Release. Open date: 3/4/2026.
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