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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. CHATMAN Phase II

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  2. Scene Geometry Aided Automatic Target Recognition (ATR) for Radar

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  3. Seeing the World in Real-Time with Automated Land Use Monitoring

    SBC: IMPACT OBSERVATORY INC            Topic: OSD221D04

    Impact Observatory recently demonstrated production of the world’s first fully automated time series of annual global land use land cover (LULC) maps at 10m resolution using deep learning algorithms applied to Sentinel-2 satellite imagery. We propose to develop an AI-powered prototype system for automated mapping and change monitoring of the world that can be applied continuously, in near real-t ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  4. SANDMAN: Synthesizing Activities and Narrative Descriptions from MOVINT through Active iNference

    SBC: APTIMA INC            Topic: NGA203001

    Advances in location acquisition and remote sensing have resulted in explosive growth of spatial trajectory data, which capture the mobility of diverse entities. Intelligence analysts need technologies that can provide automated assistance regarding the detection, understanding, and sharing of salient, culturally-informed activities from this mover intelligence (MOVINT) data. Aptima and PatchPlus ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  5. Novel Large Aperture and Fast of Electro-Optical Shutter

    SBC: PHOTONWARES CORP            Topic: NGA212001

    Photonwares proposes to develop a novel large aperture and fast EO shutter capable of meeting the NGA requirements for laser-based remote sensing applications. The clear aperture can be up to 25mmx25mm while the transition time is shorter than 10ns and the repetition rate can reach over 1MHz with a high on/off contrast ratio. The design is based on our over 20 years of commercial expertise on Pock ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. Auto-Label SAR (AL-SAR)

    SBC: ICR, INC.            Topic: OSD221002

    Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and acc ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. Optimize Recognition Algorithms and Classifiers by Learning to Explore (ORACLE)

    SBC: APTIMA INC            Topic: OSD221003

    Commercial imaging satellites capture the majority of the planet’s surface every day, generating millions of images. Searching such data for specific objects of interest is extremely difficult to do manually without automated computer image analytics. NGA is seeking a novel scientific formalism and tools for training overhead image detectors on rare and new objects of interest, for which large, ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Enhanced Modeling and Simulations of Hypersonics

    SBC: SPECTRAL SCIENCES INC            Topic: NGA203002

    The conditions encountered by hypersonic vehicles are complex due to the non-linear, strong interaction between the flow field environment and vehicle.  Successful modeling requires multi-physics capabilities that can properly take into account high-temperature gas dynamics, which includes excitation of internal energy modes, finite-rate gas chemistry, turbulent flow, and complex plasma physics, ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  9. AI and PONS for Object Identification and Annotation

    SBC: PROMETHEUS INC.            Topic: NGA203003

    To attack the challenge of object identification and annotation across diverse families of image data, Prometheus and Raytheon will implement a software toolkit based on our new mathematically–based AI tool. The AI input will be matrix coefficients resulting from the unique Prometheus-developed energy-spreading transform, PONS, the Prometheus Orthonormal Set. PONS is currently in use by both the ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  10. CREATIVE PERCEPTION: Grey Matters’ Semi-supervised detection remote sensing prototype algorithm suite

    SBC: GREY MATTERS DEFENSE SOLUTIONS, LLC            Topic: NGA201003

    The National Geospatial Intelligence Agency (NGA) requires a state-of-the-art model to quickly find and define new target sets within ever increasing datasets. Grey Matters’ CREATIVE PERCEPTION will provide the NGA with an advanced detection algorithm suite that can be easily upgraded to new target sets with a minimum amount of labeled training data. CREATIVE PERCEPTION, based on a complex sel ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
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