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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. High-Spatial and Hyperspectral-Resolution Imaging for Bridge Inspection

    SBC: Aware Vehicles, Inc.            Topic: 180FH2

    High-Spatial and Hyperspectral-Resolution Imaging for Bridge Inspection 3/12/2018 Four out of 10 national bridges have been in service for 50 or more years which have undergone different levels of structural deficiency; other relatively newer bridges are constantly exposed to natural and artificial hazards and are likely structurally deficient in their life cycles. This SBIR project aims to de ...

    SBIR Phase I 2018 Department of Transportation
  2. A System and Case Studies for Consolidating and Providing Access to Vehicle Safety-Oriented Datasets

    SBC: Expressive Analytics LLC            Topic: 180NH1

    A System and Case Studies for Consolidating and Providing Access to Vehicle Safety-Oriented Datasets 3/20/2018 In today’s world, data is power. A person using social media can take a seemingly random survey about puppy adoption, the demographic and preference data can be fed to political marketers and that person’s empathy toward puppies can help elect the next President of the United State ...

    SBIR Phase I 2018 Department of Transportation
  3. Densely Connected Neural Networks for Remote Sensing

    SBC: LYNNTECH INC.            Topic: NGA181010

    The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Development of “Permit Wizard” Software for AssistedPermit Application Completion

    SBC: TOTAL QUALITY SYSTEMS, INC.            Topic: 833

    TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture Operations

    SBC: INNOVAPREP LLC            Topic: 836

    TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
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