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Award Data

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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. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications

    SBC: Nanosonic Inc.            Topic: AF18AT002

    This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Novel Ceramic Composites for Low Loss Hypersonic Radome Materials

    SBC: HAMR Industries LLC            Topic: AF18AT013

    As threats emerge in geographically diverse locations, precision responses are often required immediately.However, the time-to-target for many munitions can be simply too long for short lived opportunities.To enable timely responses to long range threats, hypersonic munitions with velocities greater than Mach 5 are necessary.However, with hypersonic velocities comes a significant increase in the a ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation

    SBC: Novateur Research Solutions, LLC            Topic: AF18AT014

    This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Compact Surface Mount Tuning Component for Tunable Filter Applications

    SBC: Nuvotronics, LLC            Topic: AF18AT015

    As the frequency spectrum gets more congested, chances of harmful interference become an issue.Enemies can intentionally jam or desensitize receivers in battle critical electronic warfare systems.A tunable band stop filter with wide tuning range is required to instantaneously adapt and reject such malicious interference.Nuvotronics will collaborate with UC Davis in this STTR to bring MEMS based tu ...

    STTR Phase I 2018 Department of DefenseAir Force
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