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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. ActiveApproach: On-orbit inspection of space-based targets

    SBC: VISION SYSTEMS INC            Topic: AF21STCSO1

    Accurate 3D models are vital for the inspection and characterization of orbiting spacecraft. 3D models of a target spacecraft can be generated from a set of images captured by an approaching platform, but the accuracy and completeness of the generated 3D model is highly dependent on the geometry of the captured viewpoints and illumination conditions; if navigation is planned without consideration ...

    STTR Phase I 2022 Department of DefenseAir Force
  2. Bayesian Inference of Spacecraft Geometry and Pose

    SBC: VISION SYSTEMS INC            Topic: AF17AT007

    Space platforms are complex dynamical systems and there are many reasons to model them from ground telescope imagery as well as from space-based sensor platforms. One key motivation is to determine the operational state and configuration of the vehicle. Key questions such as did the solar panels fail to deploy, did the object begin to tumble unexpectedly may be addressed by a sufficiently detaile ...

    STTR Phase I 2017 Department of DefenseAir Force
  3. Benchmarking Low Volume / High Risk Trauma Procedures to Improve Surgical Outcomes and Improve Readiness using Machine-Learning Algorithms

    SBC: ALEXANDRIA HEALTH LLC            Topic: AF21BTCSO1

    The application of benchmarking tools in healthcare can be challenging due to the inherent diversity of patient populations (i.e.; some patient groups are sicker than others).  Alexandria Health has generated a novel machine learning based transparent ben

    STTR Phase I 2022 Department of DefenseAir Force
  4. Benchmarking Low Volume / High Risk Trauma Procedures to Improve Surgical Outcomes and Improve Readiness Using Machine-Learning Algorithms

    SBC: ALEXANDRIA HEALTH LLC            Topic: AF21BTCSO1

    In May 2019, the Defense Health Board (DHB) released a report finding that the Military Health System (MHS) was endangering patient and warfighter lives by not adequately training for, measuring, and benchmarking the outcomes of low-volume, high-risk procedures. More than 30 years of healthcare research demonstrate that patient outcomes for procedures are significantly better in facilities that ro ...

    STTR Phase II 2022 Department of DefenseAir Force
  5. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: Electro Standards Laboratory, Inc.            Topic: AF17BT002

    The increased use of sensing systems and large scale networked nodes with a variety of embedded sensors and imagery is creating a plethora of varied data that needs to be fused and interpreted for applications such as surveillance, reconnaissance, and air traffic controls. The need for persistent human analysis with high levels of proficiency is taxing human resources and cognitive abilities. In t ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Composite-Integrated Electrical Networks for Endurance-Optimized Airframes

    SBC: Nautilus Defense LLC            Topic: AFX20DTCSO1

    By integrating conductors into composite structures, data and power networks can become part of the vehicle’s airframe, allowing for size, weight, and assembly savings and improved mission endurance.  During the proposed effort, project team members Nautilus Defense, The University of Rhode Island, and Goetz Composites seeks to validate the structural and electrical performance of these compo ...

    STTR Phase I 2021 Department of DefenseAir Force
  7. Improved Capacitor Using Amorphous RuO2

    SBC: EVANS CAPACITOR COMPANY            Topic: N/A

    Amorphous hydrous ruthenium oxide(Ru02.xH20A) has a specific capacitance at least two times larger than any other known capacitor materials. An object of this proposal is to demostrate the feasibility of producing shock-hardened RuO2. H2O based electrochemical capacitors suitable for use in power sources for advanced weapon system applications. A 25 V, 150 mF shock-hardened electrochemical capa ...

    STTR Phase I 1998 Department of DefenseAir Force
  8. In-Situ Composite Health Monitoring for Hypersonic Vehicles

    SBC: Nautilus Defense LLC            Topic: AF20ATCSO1

    Emerging hypersonic vehicles rely heavily on advanced, highly engineered materials to ensure their survivability under the extreme conditions under which they must operate.  Understanding the performance of these materials both within and beyond the lab is critical to ensuring the DoD maintains its technology superiority in this domain.  While simulation, modeling, and laboratory-based testing a ...

    STTR Phase I 2020 Department of DefenseAir Force
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    SBC: EVANS CAPACITOR COMPANY            Topic: N/A

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    STTR Phase I 2000 Department of DefenseAir Force
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    SBC: EVANS CAPACITOR COMPANY            Topic: N/A

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    STTR Phase II 2000 Department of DefenseAir Force
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