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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. Using explainable AI (XAI) and related technologies to reduce physician burnout and improve medical surge capacity.

    SBC: DIGITAS, LLC            Topic: AF20ATCSO1

    Physicians are highly burned out (up to 80% of physicians) and the COVID-19 pandemic is making this problem much worse; Department of Defense doctors are at higher risk (caring for more patients per capita).  Burnout may manifest itself as sustained stress; but also leads to severe effects such as physician suicides, physician drug abuse, and increased patient medical errors.  Electronic health ...

    STTR Phase II 2020 Department of DefenseAir Force
  2. Vector Hydrophone Torpedo Defense Array

    SBC: Applied Physical Sciences Corp.            Topic: N05T030

    Under the proposed Phase II STTR effort, Applied Physical Sciences Corp., along with their partners, The Applied Physics Laboratory at the University of Washington, Wilcoxon Research, Inc., and Chesapeake Sciences Corp., proposes to develop an advanced vector hydrophone towed array. This includes a comprehensive acoustic analysis and design, a system interface design that leverages existing tow c ...

    STTR Phase II 2007 Department of DefenseNavy
  3. Vibration-Enhanced Sensing of Buried Landmines

    SBC: VADUM INC            Topic: A16AT004

    Vadum proposes to mature its Vibration-Enhanced Underground Sensing (VENUS) technology into a reliable, shallow-buried low-metal-content landmine discrimination and classification solution with minimal False Alarm Rate (FAR).  VENUS exploits a novel vibration phenomenology to provide unique discriminatory information and estimated classification of the buried target that enhances and complements ...

    STTR Phase II 2020 Department of DefenseArmy
  4. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    A key goal stated in the United States Air Force Science and Technology Strategy for 2030 and Beyond is to “Increase the speed of battlespace understanding and decision-making to act faster than any adversary.” In this project, ISL and Ohio University (ISL-OU) will build on the success of Phase I and deliver a new game-changing capability for reliably performing complex radio frequency, multi- ...

    STTR Phase II 2020 Department of DefenseAir Force
  5. Visual Relative Navigation

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many DoD ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
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