You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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 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. 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
  2. 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
  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. 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
  5. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: NUMERICA CORP            Topic: NGA191005

    US military and intelligence agencies 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. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Laser-Aided Automated Removal of Anti-Reflective Coatings From Germanium Substrates

    SBC: ADA TECHNOLOGIES, INC.            Topic: DLA183015

    High-purity germanium (Ge) is manufactured into infrared (IR) lenses for most DoD night sight IR optics, thermal imaging systems, and IR tracking systems in combat vehicles. A recent report by Umicore (ADA’s partner for this proposed project) identifies several current and future needs for Ge, showing growing needs in the middle of severe shortfall. These applications are essential for tracking ...

    SBIR Phase I 2019 Department of DefenseDefense Logistics Agency
  7. Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA Nuclear Enterprise Support Office (NESO) NSN: 4920-01-284-0198

    SBC: PARTS LIFE INC            Topic: DLA183001

    Parts Life, Inc. is proposing to improve product availability and increase competition through the development of a Source Approval Requests (SAR) for Tool Set, Dome Nut NSN 4920-01-284-0198 with government provided technical data through our Reverse Engineering (RE) Process. Upon contract award, if DLA has adequate technical data available, Parts Life, Inc. will utilize the technical data to deve ...

    SBIR Phase I 2019 Department of DefenseDefense Logistics Agency
  8. Danesfield Courier: Efficient Transmission and Rendering of CORE3D Models

    SBC: KITWARE INC            Topic: NGA183002

    An important application for geospatial 3D models is fast transmission and rendering for disadvantaged users who have only a web browser and a limited bandwidth connection. Point cloud models commonly used within the NGA are too large for efficient transmission and rendering. Kitware’s new research on the IARPA CORE3D program has demonstrated procedural building models from point clouds for more ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  9. Source Approval and Low Rate Production of the Valve Piston (4810-01-269-4808)

    SBC: MAINSTREAM ENGINEERING CORP            Topic: DLA183006

    Increased competition and improved lead times are desired by the Defense Logistics Agency (DLA) to facilitate NESO in supporting the needs of the U.S. Air Force and U.S. Navy nuclear communities. Mainstream Engineering has carefully reviewed the technical data package for NSN 4810-01-269-4808 provided in the solicitation and is confident that we possess the manufacturing capability, quality manage ...

    SBIR Phase I 2019 Department of DefenseDefense Logistics Agency
  10. Production and Source Approval for NSN 5305-01-417-8566 Socket Cap Screw

    SBC: MAINSTREAM ENGINEERING CORP            Topic: DLA183009

    The Defense Logistics Agency aims to improve product availability and increase competition on a multitude of NSN items for the Nuclear Enterprise Support Office by introducing capable, small business suppliers through the Source Approval Request (SAR) process. Addition of approved sources for these critical/weapon system items can lead to reduced cost and decreased lead times. Expediting the procu ...

    SBIR Phase I 2019 Department of DefenseDefense Logistics Agency
US Flag An Official Website of the United States Government