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Award Data

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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. Fully Metallic Self-Fragmenting Structural Reactive Materials Using Composites and Alloys Comprised of Aluminum, Lithium, and Magnesium

    SBC: Adranos Energetics LLC            Topic: DTRA16A002

    While aluminum casing materials provide some enhanced performance and thermal loading to explosive ordinance, their overall effectiveness is highly limited by incomplete combustion and long residence times. In order to reduce these problems, the casing material must be designed to facilitate rapid fragmentation through either specialized casing geometries or greatly refined initial particle sizes. ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  2. Next Generation Semiconductor-Based Radiation Detectors Using Cadmium Magnesium Telluride

    SBC: BRIMROSE TECHNOLOGY CORP            Topic: 23c

    At present, CdZnTe is considered the material of choice for efficient, room temperature gamma-radiation detection systems used for the detection and identification of radionuclides. Despite the advances in CdZnTe materials technology during the last decade, the major impediments in the progress of - ray detection technology are the low yield of device quality materials and detectors, and the limit ...

    STTR Phase I 2014 Department of Energy
  3. A Scalable Targeted Debugger for Scientific and Commercial Computing

    SBC: ARGO NAVIS TECHNOLOGIES, LLC            Topic: 02b

    We propose to produce a commercial powerful lightweight debugging tool, called Swat, which will be of use to both supercomputer application programmers and to programmers of cluster- and cloud-based parallel e-commerce and engineering systems and middleware. The tool will be based the STAT stack-trace debugging tool produced jointly by the University of Wisconsin and Lawrence Livermore National La ...

    STTR Phase I 2012 Department of Energy
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