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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY INC            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  2. 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
  3. CyberSTEPS- Cyber Skills Training with Electronic Performance Support

    SBC: Tier 1 Performance Solutions, LLC            Topic: AF16AT08

    There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Fully Metallic Self-Fragmenting Structural Reactive Materials Using Composites and Alloys Comprised of Aluminum, Lithium, and Magnesium

    SBC: Adranos Energetics LLC            Topic: DTRA16A002

    While aluminum casing materials provide some enhanced performance and thermal loading to explosive ordinance, their overall effectiveness is highly limited by incomplete combustion and long residence times. In order to reduce these problems, the casing material must be designed to facilitate rapid fragmentation through either specialized casing geometries or greatly refined initial particle sizes. ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  5. 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
  6. Spectrum Analyzer Using Spintronic Radar Arrays

    SBC: Oleandr Scientific LLC            Topic: A16AT016

    We propose to develop a prototype of a novel spintronic spectrum analyzer using arrays of nano-scale magnetic spin-torque detectors. The operation of the proposed spectrum analyzers is based on the recently discovered effects of spin-transfer torque and spin-diode effects in nano-scale magnetic multilayered elements, the fabrication of which became possible due to the recent advances in nano-fa ...

    STTR Phase I 2016 Department of DefenseArmy
  7. Advanced Electromagnetic Modeling with High Geometric Fidelity Using High-Order Curved Elements

    SBC: VIRTUAL EM INC.            Topic: N20BT028

    Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Reduction of Predictable Spurs in the ADC outputs using AI

    SBC: VIRTUAL EM INC.            Topic: N20AT025

    An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

    STTR Phase I 2020 Department of DefenseNavy
  9. Compressive 3D Infrared Imaging

    SBC: DetectIR, Inc            Topic: A15AT007

    DetectIR Technologies, along with Michigan State University, proposes to develop a 3D IR imaging system by integrating carbon nanotube (CNT) based IR detector technology with a compressive sensing method. This proposed effort will produce a portable, non-cryogenic-cooled 3D IR camera that will provide quality 3D images at video frame rates. The proposed camera design will solve several issues ...

    STTR Phase I 2016 Department of DefenseArmy
  10. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.

    SBC: OCEANIT LABORATORIES INC            Topic: N16AT008

    Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

    STTR Phase I 2016 Department of DefenseNavy
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