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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. Biphase Extended Release Tablet Formulation for Nerve Agent Pretreatment

    SBC: Zymeron Corporation            Topic: CBD181004

    Nerve agents exert their toxic effect by binding to and inactivating enzyme acetylcholinesterase, a key enzymatic regulator of cholinergic neurotransmission. The binding becomes irreversible after a varying amount of time with nerve agents and this aging process limits the treatment window of oxime reactivators. To enhance the current antidote treatment of nerve agent autoinjectors, a pyridostigmi ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  2. Automated object quantity estimation for Radar Imagery

    SBC: Vadum, Inc.            Topic: NGA191009

    Vadum will develop a deep learning-based computer vision technique to automatically and accurately estimate the number of objects in a synthetic aperture radar (SAR) image. The technique learns on key features of SAR and optical images while being resilient to a wide range of SAR image resolutions, collection geometries and object poses. The analysis architecture is extensible to images collected ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. 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
  4. 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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