You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Remote Sensing of CWAs Using Color Changing Sensor Tags and RFID Detector

    SBC: LYNNTECH INC.            Topic: DTRA102006

    Rapid identification of these warfare modes, particularly Chemical Warfare Agents (CWAs), is vital to protecting U.S. armed forces personnel and their assets. Most quantitative and accurate methods for CWA identification utilize bulky and expensive equipment that require specific technical expertise for data collection and analysis. A major limitation to using existing detection equipment i ...

    SBIR Phase II 2013 Department of DefenseDefense Threat Reduction Agency
  2. A Portable Laser Device for Remote Filler Identification

    SBC: AAC International            Topic: DTRA122012

    The proposed SBIR research (Phase I and II) is devoted to developing a laser-based acousto-ultrasonic system for inspection of sealed containers. The system represents a promising technology for improving safety management in anti-terrorism and treaty compliance operations. The system will use a pulsed laser to excite the container and a laser Doppler vibrometer for long stand-off vibratory (ult ...

    SBIR Phase I 2013 Department of DefenseDefense Threat Reduction Agency
  3. Soil-Structure Interaction (SSI) Effects for Fully and Partially Buried Structures

    SBC: PROTECTION ENGINEERING CONSULTANTS LLC            Topic: DTRA122005

    Protection Engineering Consultants (PEC) proposes to develop a coarse-grain neural network modeling approach for efficient simulation of shock propagation through geological media including soil-structure interaction. In the coarse-grain approach, fast-running computational elements are developed which are an order of magnitude larger than typical FE elements, and the elements are driven by neura ...

    SBIR Phase I 2013 Department of DefenseDefense Threat Reduction Agency
US Flag An Official Website of the United States Government