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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. Impact of Hypersonic Flight Environment on Electro-Optic/Infrared (EO/IR) Sensors

    SBC: Analysis and Applications Associates, Inc.            Topic: AF15AT40

    EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon Systems

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Reverberation Mitigation of Speech

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: AF15AT17

    Speech data corrupted by reverberation, especially in combination with noise, has a drastically negative effect on the performance of speaker identification algorithms. Current approaches to the removal of reverb and noise rely on specific knowledge of room characteristics causing the reverb.The team of In-Depth Engineering and the University of Maryland propose to apply an innovative, generalized ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Spectrum Sensing and Sharing by Cognitive Radios in Position, Navigation and Timing (PNT) Systems

    SBC: Echo Ridge, LLC            Topic: AF15AT23

    Echo Ridge proposes to prototype and demonstrate an architecture and key algorithms to support spectrum sharing for Position, Navigation, and Timing (PNT) that focuses on spectrally congested and high likelihood operational scenarios. Four key results are proposed to be delivered: 1) end-to-end Hardware-in-the-Loop (HiTL) lab demonstration of all segments of the solution in Air Force-relevant oper ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. ROBUST MOVING TARGET HANDOFF IN GPS-DENIED ENVIRONMENTS

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

    STTR Phase II 2016 Department of DefenseAir Force
  6. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Computation of Structural Energetic Materials Under Shock Loading: a Meso-Scale Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF16AT23

    Structural energetic materials or multifunctional energetic materials offer the ability to combine the high energy release rates of traditionalhigh explosives with structural strength. When successfully formulated therefore they can lead to light-weight, high-performance and hithertoinaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so th ...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Modeling and Simulation for Design, Development, Testing and Evaluation of Autonomous Multi-Agent Models

    SBC: EDUWORKS CORPORATION            Topic: AF15AT14

    U.S. forces are benefiting from automation systems of unprecedented sophistication, empowered by advances in artificial intelligence (AI) and human-systems interaction. In air combat operations, onboard intelligent assistants monitor the aircraft, interpret and carry out commands, and report aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a n ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. Highly-Resolved Wall-Shear-Stress Measurement in High Speed Flows

    SBC: INTERDISCIPLINARY CONSULTING CORP            Topic: AF14AT08

    The Interdisciplinary Consulting Corporation (IC2), in partnership with the University of Florida (UF) and Innoveering, LLC, proposes to develop an innovative precision micro-scale surface-mountable sensor for measuring local wall shear stress in [a] high speed flow field (approximately 0.8 < M < 5) to enable characterization of critical boundary layer flows in ground and flight tests in response ...

    STTR Phase II 2016 Department of DefenseAir Force
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