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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Tool-Condition-Monitoring System for Adaptive Milling

    SBC: HILL ENGINEERING LLC            Topic: AF21ATCSO2

    Conventional “subtractive” machining is a huge industry with critical implications for USAF and DOD. The vast majority of safety-critical parts are manufactured using subtractive machining because it produces excellent dimensional tolerance and a high-qua

    STTR Phase I 2022 Department of DefenseAir Force
  2. An Adaptable, Cost-Effective, Real-Time 3D Vision System?for Advanced Manufacturing

    SBC: KRTKL INC.            Topic: AF21ATCSO2

    The applicant proposes to develop a novel hardware-software computer vision solution for advanced manufacturing. The team is building upon existing research in the field of computer vision by assessing 3D vision algorithms (e.g., object classification, po

    STTR Phase I 2022 Department of DefenseAir Force
  3. A New Rapid Conversion Technology for High Volume, Low Cost Carbon Fiber

    SBC: ReMaxCo Technologies, LLC            Topic: AF21ATCSO2

    Carbon fiber is now used extensively in military vehicles, structures and equipment, and its use will only expand due to its combination of light weight and high strength. However, the challenge of widespread adoption both in the military and in the comme

    STTR Phase I 2022 Department of DefenseAir Force
  4. Predictive Maintenance for Reduction of Errant Engine Returns

    SBC: TOYON RESEARCH CORPORATION            Topic: AF21ATCSO2

    Through recent research and development efforts with the Air Force Research Laboratory and Army Mobility Command, Toyon Research Corporation and the University of Dayton Research Institute have been informed of costly maintenance actions that results in c

    STTR Phase I 2022 Department of DefenseAir Force
  5. In-situ Monitoring System for Additive Manufacturing Quality Control

    SBC: ADDITIVE MONITORING, INC.            Topic: AF21BTCSO1

    Metal 3D printing, often referred to as metal additive manufacturing (MAM), is an advanced manufacturing technique witnessing explosive adoption growth rates in the aerospace industry. This proposal outlines the alteration of a commercial in-process quali

    STTR Phase I 2022 Department of DefenseAir Force
  6. Machine Learning for Logistics in the field

    SBC: QUAYCHAIN TECHNOLOGIES, INC.            Topic: AF21BTCSO1

    QuayChain working with Utah State University, is working together to identify and resolve data black holes in the supply chain and logistics industry.   QuayChain uses localized Machine Learning applications that combine computer vision and environmental

    STTR Phase I 2022 Department of DefenseAir Force
  7. Neutron Radiography Imaging for Complex Geometries

    SBC: ENGINEERING AND SOFTWARE SYSTEM SOLUTIONS, INC.            Topic: AF21BTCSO1

    Aerospace components routinely require non-destructive inspection (NDI) to ensure integrity and safe operations. Neutron NDI radiographic imaging is a feasible technology for inspection of high density, high-Z, thick materials used in the latest aircraft

    STTR Phase I 2022 Department of DefenseAir Force
  8. Complex Remote Analytics for a Tactical Ubiquitous Sensor System (CRATUS)

    SBC: Pear Health Labs, Inc.            Topic: AF21BTCSO1

    Pear and the University of Pittsburgh Neuromuscular Research Laboratory/Warrior Human Performance Research Center’s STTR effort will provide research and development concerning the fusing of sensor data from readily available sensors (COTS sensors) to cre

    STTR Phase I 2022 Department of DefenseAir Force
  9. Tentative

    SBC: Akai Kaeru, LLC            Topic: AF21BTCSO1

    The project at the heart of this proposal is to make Reinforcement Learning (RL) more human-interpretable and trustable. RL has become ubiquitous in many commercial domains and some say RL is what AI is meant to deliver. Instead of ingesting massive amoun

    STTR Phase I 2022 Department of DefenseAir Force
  10. NeuroGeneces: Transforming cognitive performance while you sleep

    SBC: NEUROGENECES, INC.            Topic: AF21BTCSO1

    NeuroGeneces provides a scientifically proven, safe and effective way to improve memory while you sleep. By using acoustic stimulation, NeuroGeneces’ EEG-based sleep headband with machine-learning (ML) algorithms enhances the memory consolidation processe

    STTR Phase I 2022 Department of DefenseAir Force
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