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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Long-term Patterns of Life from Sporadic Observations

    SBC: Novateur Research Solutions, LLC            Topic: NGA192005

    This SBIR Phase-I project will develop novel approaches for unsupervised life-long learning architecture to extract long-term patterns of life from sporadic observations. The proposed architecture models longterm dependencies, learns associations between features from sensory observations and the contexts in which these features occur, identifies sudden changes in the patterns for anomaly detecti ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. GLANCE: Graph Learned Anomalies in Changing Environments

    SBC: Expedition Technology, Inc.            Topic: NGA192005

    While Wide Area Motion Imagery (WAMI) activity analysis has considerably advanced for continuous tracking—particular through adoption of improved machine learning (ML) methods, less research has been applied to using similar quality image sequences over sporadic intervals to characterize site activity. While pure still-image remote sensing collection can characterize basic change detection usin ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Automated Assessment of Urban Environment Degradation for Disaster Relief and Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. Low-shot Using Contextual Knowledge and Ephemeral Search Hierarchy for One-shot Targets (LUCK E SHOT) in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    At a high level, the primary technical objective of the proposed effort is to Identify, obtain, evaluate, and improve datasets; Investigate the use of Meta-Learning to improve the low-shot detection performance of the feed forward network;   Extend research in multi-branch multi-domain embedding networks and semantic layouts for low-shot detection in remote sensing imagery; and Develop and implem ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  6. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  7. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. Non-Invasive Monitoring of Changes in Intracranial Pressure Due to Infections in the Central Nervous System

    SBC: Fenix Research Corporation            Topic: CBD192005

    Infections of the central nervous system (CNS) are associated with brain swelling and increased cerebral blood volume, as well as focal cerebral perfusion deficits, variable levels of cerebral blood flow and cerebral vasculitis. The net result is increased intracranial pressure (ICP) along with significant risk of brain tissue herniation and ischemic syndromes. ICP monitoring is critical in the ma ...

    SBIR Phase I 2020 Department of DefenseOffice for Chemical and Biological Defense
  9. Development of a Non-invasive Negative Ophthalmodynamometer Capable of Measuring Intracranial Pressure in Humans

    SBC: Equinox Ophthalmic, Inc.            Topic: CBD192005

    Measurement of intracranial pressure (ICP) is essential in the diagnosis and management of numerous life threatening conditions. All current methods used clinically to measure ICP are invasive and require direct access to the cerebrospinal fluid giving them a significant side effect profile. The ability to measure ICP non-invasively would be a major milestone for patients. Spontaneous venous pulsa ...

    SBIR Phase I 2020 Department of DefenseOffice for Chemical and Biological Defense
  10. Development of Small Molecule Therapeutics for Emerging Viral Agents

    SBC: Arisan Therapeutics, Inc.            Topic: CBD192006

    Arenaviruses comprise a diverse group of Old (Africa) and New World (Americas) species. Several species are associated with hemorrhagic fever (HF) with case-fatality rates as high as 30%. Arenaviruses infection typically occurs via the mucosal route through contact with excretions of an infected rodents although direct human-to-human transmission may occur in clinical settings. Lassa arenavirus en ...

    SBIR Phase I 2020 Department of DefenseOffice for Chemical and Biological Defense
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