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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. Orbital Insight Synthetic Data for Computer Vision in Remote Sensing

    SBC: Orbital Insight, Inc.            Topic: NGA201001

    As the Intelligence Community’s experts in geospatial analytics, the National Geospatial-Intelligence Agency (NGA) has a long-standing interest in conducting research and development in analyzing overhead imagery. With the commercialization of space, the need to analyze greater volumes of imagery much more quickly continues to progress. Fortunately, recent advances in computer vision (CV) have m ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  2. 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
  3. Automated Camera Orientation Recovery Software

    SBC: Physical Optics Corporation            Topic: NGA201006

    To address the NGA’s need to fully automate recovery of camera orientation parameters from ground-level imagery, Physical Optics Corporation (POC) proposes to develop new Automated Camera Orientation Recovery Software (ACORS). It is based on a new, multicue combination of algorithms for finding true horizon lines in images. Specifically, the innovation in locating occluded true horizon lines bel ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  4. TULPA (Trajectory-patterns elucidated via Unsupervised-and-semi-supervised Labeling by Prerequisites-free Autonomy)

    SBC: INTELLIGENT MODELS PLUS INC.            Topic: NGA191006

    Advances in location-acquisition and mobile computing techniques have generated massive spatiotemporal trajectory data, which represents the mobility of a diversity of moving objects, such as people, vehicles, and animals. Moreover, recent research has tabbed learning of how to automatically explain and anticipate both the observable and abstract trajectories as one of the likely keys to building ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  5. 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
  6. Knowledge Graph-Based Collaborative Recommender System (KCRS) for Spatio-Temporal Intelligence Documents

    SBC: NUMERICA CORPORATION            Topic: NGA191005

    US military and intelligence agencies, including the NGA, have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. NGA analysts are often overwhelmed with data and spend too much time solving data problems rather than solving intelligence problems. Thus, there ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  7. Feature Learning, Encoding, and Extraction Toolkit (FLEET)

    SBC: Applied Research In Acoustics LLC            Topic: NGA191001

    To support geospatial intelligence (GEOINT) through exploitation and analysis of synthetic aperture radar (SAR) imagery, ARiA will enable segmentation and analysis of SAR imagery by building on prior work with unsupervised and semisupervised deep learning for semantic segmentation and terrain-sensitive automated target recognition (ATR) to develop and enhance FLEET, developed in Phase I as an unsu ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  8. Improved Geolocation for Over the Horizon Radar (IGOR)

    SBC: EXPEDITION TECHNOLOGY, INC.            Topic: NGA191008

    The primary objective of the Improved Geolocation for Over the Horizon Radar (IGOR) Phase II SBIR is to develop and demonstrate a prototype system that processes OTHR radar returns to produce improved geolocation estimates for targets illuminated in the radar’s surveillance region. To accomplish this objective, EXP will enhance the IGOR Deep Learning algorithms developed during Phase I and evalu ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  9. Long Term Patterns of Life from Sporadic Observations Phase II

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: NGA192005

    This SBIR Phase-II project will develop novel approaches for unsupervised life-long learning architecture to extract long-term patterns of life from sporadic observations. Novateur will extend the Phase I capabilities to develop an improved biologically inspired framework that models long-term dependencies, learns associations between features from sensory observations and the contexts in which t ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  10. CAMELOT

    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 II 2021 Department of DefenseNational Geospatial-Intelligence Agency
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