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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.
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Or search similar grants →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.S. teams. Government agencies, FFRDCs, UARCs ineligible. Continuous white paper submission with invitation-only full proposals. 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.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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 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…
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.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
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