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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Detection of “active” biological toxins by exploiting native binding specificities

    SBC: Binergy Scientific Inc.            Topic: CBD14101

    A chemical threat agent mode of action is often initiated through a selective interaction with a biological molecule or structure. The binding event mimics normal cellular processes, but then overruns natural control mechanisms leading to toxic and lethal effects. The native binding specificity is used to design sensor recognition elements that outperform conventional antibody-based biosensors. Ou ...

    SBIR Phase II 2019 Department of DefenseOffice for Chemical and Biological Defense
  2. Signal Matching via Computationally Efficient Hashing

    SBC: Vadum, Inc.            Topic: NGA172003

    Vadum will develop and demonstrate a software tool for rapid, accurate matching of time-series data to a previously collected database. The Clustered, Shingled Hashing of Random Projections (C-SHARP) tool maps a library of time series data to a compact database of fingerprints. The tool enables efficient queries for matches to a new time series by identifying fingerprint similarity. To support dif ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. Conflation of 3D Foundation Data

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: NGA172007

    NGA seeks a solution to provide highly accurate foundation data of buildings, similar features, and linear structures by conflating information from multiple images and contributed content. Our solution “AMCON Geo” (Automated Multi-source Conflation, Geospatial) is a framework for combining multiple sources together to improve overall relative and absolute accuracies of the data, and increase ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
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