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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. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 17NCER2C

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

    SBIR Phase I 2018 Environmental Protection Agency
  2. A Handheld Sensor for Amorphous Coating Integrity Evaluation

    SBC: ALPHASENSE, INC.            Topic: SB093002

    Under the DARPA sponsored Naval Advanced Amorphous Coating (NAAC) program, a novel, thermal sprayed amorphous metal coating has been developed. Such a coating has demonstrated superior mechanical and corrosion resistance properties. Although the coating is designed to be life-of-ship, the application and operational conditions may compromise the integrity of the coating. For example, the applicati ...

    SBIR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  3. GPU-Based High-Performance Computing for Accelerated Design and Analysis

    SBC: EM PHOTONICS INC            Topic: SB082024

    Commodity graphics processing units (GPUs) offer tremendous computational throughput for relatively little cost. They have been shown to outperform microprocessors in the important metrics of FLOPS/dollar, FLOPS/Watt, and FLOPS/unit space and have already been applied to a wide range of numerically intense problems. In Phase I of this project, we demonstrated their potential to enhance complex C ...

    SBIR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
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