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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all 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.

  1. A User-Centric Gamified Crowdsourcing System for Geospatial Analysts

    SBC: 361 Interactive, Llc            Topic: NGA191007

    Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analysts’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsour ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  2. Multi-hop processing for OTHR range extension

    SBC: Decibel Research, Inc.            Topic: NGA191011

    The development of sophisticated anti-access/area denial (A2/AD) capabilities by our adversaries requires us to develop long range capabilities to mitigate this A2/AD threat. Extending the range of Over The Horizon Radars beyond their conventional single hop operating mode will potentially provide coverage out to 10000 km and beyond. We propose combining existing state-of-the art HF radar ray prop ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: RAJI BASKARAN LLC            Topic: NGA191005

    NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. SURFER: SAR Unsupervised and Robust Feature ExtractoR

    SBC: THE DESIGN KNOWLEDGE COMPANY            Topic: NGA191001

    The NGA requires an automatic, unsupervised SAR feature extraction (AUFE) technique, that can ultimately be deployed for geospatial analysis, modeling, and target detection. Our proposed “SAR Unsupervised and Robust Feature ExtractoR” (SURFER) solution includes in Phase I: (1) a sound and deterministic assessment of the underlying RF phenomenology and SAR processing theoretical basis for effec ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Asynchronous Multi-transmitter Multi-aperture Synthetic 3D Imaging System

    SBC: VOXTEL, INC.            Topic: NGA183001

    Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Automating Procedural Modeling of Buildings from Point Cloud Data

    SBC: DIGNITAS TECHNOLOGIES, LLC            Topic: NGA183002

    Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point clou ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency

    SBC: Apollo Neuroscience, Inc.            Topic: SOCOM182002

    Apollo is a patent-pending AI software platform that integrates with connected hardware to deliver physiologically-reactive vibration, demonstrated in a double-blind randomizedplacebo-controlled clinical trial, to improve resilience, as measured by heart rate variability, and performance under stress by up to 25%.Using physiological measurement and environmental data, Apollo identifies each users ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Field Portable Mass Spectrometry for Small Molecule Drugs in Clinical Samples

    SBC: SPECTRAL ENERGIES LLC            Topic: CBD181006

    We propose a novel two-dimensional mass spectrometry (2D-MS) technique based on ion trap arrays to identify illicit and designer drugs. This approach will give an unprecedented multiplex advantage for miniature mass spectrometry, allowing novice field technicians to rapidly identify drugs affecting the central nervous system based on both the m/z ratio and fragmentation pattern of an ion. Towards ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  10. Dual Formulation of Atropine/Scopolamine with Enhanced Stability

    SBC: CMC PHARMACEUTICALS INC            Topic: CBD181005

    CMC Pharmaceuticals, Inc. (Cleveland, OH) is proposing developing a stable, combination product of two small molecule drug candidates as a counter measure to chemical warfare nerve agents (NA). The combination product is expected to exploit complementary pharmacological profiles for optimal muscarinic receptor blockade and anticholinergic activity within the peripheral and central nervous system. ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
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