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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. Analysis of Integrated Circuits Using Limited X-rays

    SBC: Tangent Sciences LLC            Topic: DMEA152002

    XRadIC establishes an automated software framework to non-destructively analyze cutting edge microelectronics using photon flux-limited x-ray microscope systems. XRadIC couples on-the-fly sample scanning with online optimized 2D and 3D image analysis algorithms to maximize overall system throughput by dynamically minimizing the number of viewing angles and exposure times needed to analyze a given ...

    SBIR Phase II 2018 Department of DefenseDefense Microelectronics Activity
  2. A Unified Blockchain for FPGA Firmware and Hardware

    SBC: COLVIN RUN NETWORKS, INC            Topic: DMEA182003

    Copia is a a fit-for-purpose sand-to-system supply chain blockchain optimized for DMEA’s FPGA Manufacturing ecosystem to enable Trusted and Assured Copia is a a fit-for-purpose sand-to-system supply chain blockchain optimized for DMEA’s FPGA Manufacturing ecosystem to enable Trusted and Assured Microelectronics requirements across DOD.

    SBIR Phase II 2020 Department of DefenseDefense Microelectronics Activity
  3. Machine Learning Applied to Counterfeit Detection

    SBC: GRAF RESEARCH CORPORATION            Topic: DMEA192002

    The machine learning for counterfeit detection research program continues the successful Phase 1 feasibility study of applying machine learning to detect FPGA counterfeits. In Phase 1, Graf Research demonstrated the feasibility of implementing a machine learning based counterfeit detection platform for a single FPGA device and representing data characteristic of repackaged counterfeit devices.  T ...

    SBIR Phase II 2021 Department of DefenseDefense Microelectronics Activity
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