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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. Adaptable Cyber Defense for Autonomous Air Operations

    SBC: OCEANIT LABORATORIES INC            Topic: AF19CT003

    In this Phase I SBIR, Oceanit will develop a novel, powerful, adaptable cyber defense capability to support autonomous Air Force weapons systems.

    STTR Phase I 2020 Department of DefenseAir Force
  2. Protecting Fingerprint Systems from Spoof Attacks (PFSSA)

    SBC: OMBRA LLC            Topic: AF19CT010

    Ombra, a Florida-based Service-Disabled Veteran Owned Small Business (SDVOSB) will conduct a thorough Feasibility Study to develop a Protecting Fingerprint Systems from Spoof Attacks (PFSSA) system for the Air Force and United States Special Operation Command (USSOCOM). Biometric systems are vulnerable to attacks using fake biometrics to obscure an individual’s natural biometric signature. ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: BLOODSTONE DIVISION LLC            Topic: AF19CT010

    Bloodstone objectives are to develop mitigating technologies to reduce the risk of hypothermia, vibration, blood loss, and pressure wounds during air transportation of the injured war fighter.

    STTR Phase I 2020 Department of DefenseAir Force
  4. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: GREAT LAKES CRYSTAL TECHNOLOGIES INC            Topic: AF19CT010

    We propose to perform customer discovery in Phase I to identify quantum grade single crystal diamond requirements for future Air Force quantum technologies with an aim to extend our state-of-the-art diamond synthesis process to demonstrate prototype quantum grade diamond in Phase II and to establish a domestic supply of quantum grade diamond in Phase III.

    STTR Phase I 2020 Department of DefenseAir Force
  5. Advanced Measurement Capability of Turbine Engine Exhaust and Jet Flows through Non-intrusive Methods

    SBC: NON-CONTACT TECHNOLOGIES LLC            Topic: AF19CT010

    The United States Air Force (USAF) at Arnold Engineering Development Complex (AEDC) has identified a need for improved turbine engine exhaust flow measurement. Non-Contact Technologies, LLC, (NCT) seeks to apply research techniques developed by the University of Tennessee Space Institute (UTSI) for non-intrusive diagnostics of exhaust and gas flows from turbine engines during ground testing. The U ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: BDYWR, LLC            Topic: AF19CT010

    Real Time pilot health/performance monitoring requires body worn physiological sensors to communicate their data to a monitoring device in the cockpit. Traditionally Radio Frequency (RF) based wireless communication would be used in these scenarios. However, these RF waves can potentially affect critical radio communication between the airplane and ground. Electro Quasi-Static Human Body Communica ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: QARDIAN LABS, LLC            Topic: AF19CT010

    Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as 'at risk.' To this end, we investigate the potential of using data analysis, and in particular the design and use of deep neural networks (DNNs) for detecting heart disease based on routine clinical data. Our main contribution is th ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Novel Image Segmentation Methods for Missile Attitude

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF19BT005

    Missile attitude in flight can be difficult to determine from ground-based images due to image resolution, lighting, object occlusion, and poor contrast. To address the need, UHV and UTARI propose a fusion based approach of 2 well proven methods to solve this problem. First, UHV Technologies will implement their existing innovative and state of the art machine learning methods for image segmentati ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Lunar Surface Network and Kinetic Delivery System

    SBC: SPACE INITIATIVES INC.            Topic: AF20ATCSO1

    We propose a mesh network system that can be deployed onto the lunar surface either with or, in advance of a new landing, either crewed or robotic, that can provide the following services: terminal navigation and landing positioning, even in the possible presence of hostile jamming or spoofing; local PNT for astronauts and robots over an area surrounding the landing site; communications relay over ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Machine Learning of Part Variability for Predictive Maintenance

    SBC: EXPERIMENTAL DESIGN & ANALYSIS SOLUTIONS, INC.            Topic: AF20ATCSO1

    Extensive testing at substantial cost is a major part of military propulsion development programs. These programs involve numerous component and engine tests aimed at producing safe and reliable engines. Despite these efforts, engines still experience unexpected failures. Geometric variability of parts within design tolerances is a well-known source of uncertainty in overall reliability. USAF sust ...

    STTR Phase I 2020 Department of DefenseAir Force
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