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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. GEOGENX: target disambiguation through spatiotemporal context

    SBC: VISION SYSTEMS INC            Topic: NGA201004

    Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. An ever present and fundamental requirement for this type of data is automated target detection and recognition, helping to quickly locate and correctly identify targets from vast quantities of image data. Despi ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  2. Danesfield Courier: 3D Models from Point Clouds for Efficient Transmission and Rendering

    SBC: KITWARE INC            Topic: NGA183002

    An important application for geospatial 3D models is fast transmission and rendering in web and mobile applications, especially for limited bandwidth connections.  Point cloud models are commonly used within the NGA and are derived from multiple sources including Lidar and aerial/satellite imagery and video.  However, point clouds are too large for efficient transmission and rendering.  Kitware ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  3. DIALR Phase II

    SBC: PRIME SOLUTIONS GROUP, INCORPORATED            Topic: OSD221002

    The pace of remotely sensed data collection is increasing exponentially while the skilled workforce that is available to analyze and interpret the data is not. Artificial Intelligence (AI) offers a technology pathway to automation which promises to rapidly reduce the gap between data and information products and services. However, AI techniques require massive quantities of labeled data to train m ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  4. 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
  5. Super Resolution of Satellite Imagery using Multi-Sensor Fusion

    SBC: KITWARE INC            Topic: NGA172005

    The commercial small satellite provider Planet is expanding towards global coverage at a daily revisit rate at the cost of lower resolution imagery than satellite providers like DigitalGlobe. The lower resolution diminishes the effectiveness of Planet in many surveillance applications that would greatly benefit from its coverage and revisit rate. We therefore propose a single image super resolutio ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. SkyShot: target detection through spatiotemporal context

    SBC: VISION SYSTEMS INC            Topic: NGA201004

    Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. A fundamental requirement for this type of data is automated target detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. De ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. Advanced Integrated CMOS Terahertz (THz) Focal Plane Arrays (FPA)

    SBC: ALPHACORE INC            Topic: OSD222D02

    Existing THz devices have not yet provided all the imaging functionalities required to fulfill non-destructive imaging and remote sensing applications. Most of the THz imaging and spectroscopy systems utilize single-pixel detectors, which results in a severe trade-off between the measurement time and field-of-view.   Lack of large-format (many-pixel) sensor arrays is one of the major hurdles for ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Multi-hop Processing for OTHR Range Extension M191-011-0105

    SBC: DECIBEL RESEARCH, INC.            Topic: NGA191011

    Extending the range of High Frequency (3MHz-30MHz) Over The Horizon Radars (HF-OTHR) to multi-hop range will provide a significant capability enhancement to neutralize anti-access/area denial (A2/AD) capabilities developed by US adversaries. To provide target detection for OTHR at multi-hop ranges we will develop the Radar Environment Response Function (RERF) solution that employs a comprehensive ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  9. Region Reduction

    SBC: CLARIFAI, INC.            Topic: NGA201006

    The NGA program “GLIMPSE” leverages context and topography to geolocate imagery for further analysis. For this proposal, Clarifai intends to develop and deliver a deep-learning pipeline to reduce the geographical search space for an image that will expedite analysis and reduce computational cost. The objective of this proposal is to provide a system to (a) efficiently identify relevant imagery ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  10. Clarifai Response to Topic Number: NGA 201-001 Phase II Rare Objects

    SBC: CLARIFAI, INC.            Topic: NGA201001

    Computer Vision AI models are trained on large datasets to understand imagery and assist with human analysis in thousands of use cases. This proposal is intended to enable the use of machine-learned computer vision to assist analysts in the location of rare objects even when there is insufficient real world labeled data for deep training. The generic problem of automatic recognition of objects fro ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
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