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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. Advanced Geospatial Computing

    SBC: REPLICUS SOFTWARE CORP.            Topic: NGA05001

    Our primary concept is a distributed storage system capable of supporting organizations which scale from the small to the very largest. The goal is to build a distributed self-configuring; self-managing and self-healing file storage system which exhibits modular upgradeability and dynamic adaptation to an organization's evolving needs. Our strategy to do this is to exploit a unique scientifically ...

    SBIR Phase I 2005 Department of DefenseNational Geospatial-Intelligence Agency
  2. Advanced Geospatial Computing

    SBC: TRUSTWORTHY SOFTWARE CORP.            Topic: NGA05001

    This proposal outlines the scope and prospective directions of research into the architecture, technology, methods and algorithms necessary for the building of the practically usable distributed system for dissemination, high-volume transportation, storage and management of large data files in heterogeneous world-wide networks, such as needed by the advanced geospatial computing. The specific topi ...

    SBIR Phase I 2005 Department of DefenseNational Geospatial-Intelligence Agency
  3. 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
  4. Alternative PNT Augmentations for Handhelds

    SBC: YOTTA NAVIGATION CORPORATION            Topic: NGA07002

    Yotta Navigation proposes to develop the MOUTman, a rugged, handheld, secure, high-precision real-time navigation system suitable for military operations. This system will take advantage of Yotta's existing expertise in several areas: inertial and differential GPS-assisted navigation, user interface design, efficient integration of components from mainstream suppliers, and our deep knowledge of r ...

    SBIR Phase I 2008 Department of DefenseNational Geospatial-Intelligence Agency
  5. A Multi-Branch Network for Automated VNIIRS Assessment of Motion Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA191003

    Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Attention Guided Pattern and Geospatial Analysis System

    SBC: Fetch Technologies            Topic: N/A

    With the large amount of geospatially-referenced material available, an important problem for NIMA is how to organize and present that information to their customers. We propose to address this problem by building a geospatial catalog system that will notjust tell you which products are available, but also allow the user to see the actual products and the relationship to other products. This wil ...

    SBIR Phase I 2001 Department of DefenseNational Geospatial-Intelligence Agency
  7. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Bayesian Urban Degradation Assessment

    SBC: Intellisense Systems, Inc.            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Blending Ground View and Overhead Models

    SBC: Arete Associates            Topic: NGA181008

    We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. 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
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