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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. Applications of Computational Command Leadership AI Models (ACCLAIM)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST092002

    A military without good leadership is a mob. Identification, preparation, guidance and mentoring of potential leaders are critical functions across all services. Leadership training and support can be substantially improved by refinement of theories and models on what constitutes good leadership, and what enables individual to be effective leaders. DoD needs better models of how leaders learn, ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  2. Polarization switching VCSEL (P-VCSEL)

    SBC: ZIVA CORPORATION            Topic: ST092003

    Ziva Corporation in collaboration with UCSB will assess the feasibility of developing a directly modulated polarization switching laser based on the Vertical Cavity Surface Emitting Laser (VCSEL) geometry with a 3dB frequency of at least 10 GHz. This will be a major breakthrough in the ability to cost effectively fabricate directly modulated lasers (even in 2-D arrays) with polarization diversity ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  3. High Speed Polarization Modulation of Microcavity Lasers for Laser Radar (LADAR) Applications

    SBC: Aerius Photonics, LLC.            Topic: ST092003

    A need exists for polarization interrogating and discriminating Ladar systems to detect and discriminate defilade targets. In the proposed effort, Aerius, and our partner at the University of Illinois, will apply photonic crystal technology to extend Aerius’ high power, high wall plug efficiency, Vertical-Cavity Surface-Emitting Laser (VCSEL) results to develop a stable polarization switched VC ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  4. New Thruster for Proliferated Satellites Has More Force and Longer Life

    SBC: The Granville Group Inc.            Topic: ST092005

    Granville has designed a new satellite/spacecraft propulsion engine, GREP, delivering over 100.mN/1.0 kW of force from strong electromagnetic energy… more force magnitude and efficiency than existing propellant limited ion thrusters. And, because it uses renewable power from on-board solar/electric panels, GREP offers extended propulsion maneuver life, up to 15 years or more, substantially lon ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  5. Computational Biology Platform Technology for Cellular Reprogramming

    SBC: IREPROGRAM, LLC            Topic: ST17C001

    Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. 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
  8. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: Perceptronics Solutions, Inc.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
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