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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. Electro-optical Seeker

    SBC: CERANOVA CORP            Topic: OSD181002

    Execution of long-range weapons capabilities reduces risk and affords greater warfighter protection. Core enabling technologies for hypersonic projectiles include high-strength lightweight materials, precision avionics, and novel designs. System demands include the ability to withstand both high accelerations (up to 50,000 Gs) and aerothermal shock. Detailed structural engineering and shock modeli ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  2. Low-Cost, Transmit-Only, Active Electronically Steered Array (AESA) with Phase-Only Nulling (1000-471)

    SBC: SI2 TECHNOLOGIES, INC            Topic: SCO182002

    SI2 proposes to leverage prior Government funded efforts to develop a transmit (TX) only, wideband (6:1 bandwidth), low-cost, scalable active electronically scanned array (AESA) that will utilize phase-only nulling to enable radar, Electronic Warfare / Electronic Attack (EW/EA), Information Operations (IO) and other capabilities on multiple platforms across DOD agencies. The array will employ digi ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  3. Maritime/Systems & Technology Research

    SBC: Systems & Technology Research LLC            Topic: SCO182008

    Airborne radars operating over open water must classify maritime vessels by measuring and exploiting highly-variable radar signatures. Sources of signature variability include within-class ship construction and equipment differences, complex in-situ 6-DoF ship motion caused by ocean waves across a range of sea state conditions, acquisition geometry including grazing angle and maritime-specific RF ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  4. Secure Private Neural Network (SPNN)/Charles River Analytics Inc.

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SCO182009

    Deep Neural Networks (DNNs) are becoming widely used in the DoD for image classification, but recent research has shown DNNs are vulnerable to adversary attacks. Adversaries can monitor the DNN training and classification processes to learn attributes of the training data and the DNN. With this information, an adversary can gain valuable insight into the potentially sensitive data used to train th ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  5. Critical Program Information Assessment Standardization Toolkit (CAST)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SCO183002

    Program protection and security personnel in the DoD are faced with the complex task of identifying and protecting sensitive information about systems, including the nature of mission-critical functions and components, and Critical Program Information (CPI). Successful and efficient identification and protection of CPI is essential to maintaining US Warfighters’ technological advantage. Cur ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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