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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. On Demand Energy Activated Liquid Decontaminants and Cleaning Solutions

    SBC: TDA RESEARCH, INC.            Topic: A12AT005

    On-site activated decontaminants will revolutionize chemical and biological decon because the activated solution is produced on demand, without the limitations of traditional pre-made mixtures. TDAs system uses electrical activation to convert battery power into reactive chemicals that quickly destroy chemical and biological warfare agents. Prior to activation, the decontaminant mixture can be saf ...

    STTR Phase II 2018 Department of DefenseArmy
  2. 3D Tomographic Scanning Microwave Microscopy with Nanometer Resolution

    SBC: Alcatera Inc.            Topic: A17AT008

    Scanning probe microscopy (SPM) is a technique used to detect near-field interaction when a sample is rater-scanned by a probe. Example include atomic force microscope (AFM) and scanning tunneling microscope (STM). It offers nanometric and atomic image resolution. In this field, an emerging technique, Near-Field Scanning Microwave Microscopy (SMM), utilizes microwave evanescent waves to attain the ...

    STTR Phase II 2018 Department of DefenseArmy
  3. Scalable Manufacturing of Graphite Yarn via Wet Spinning Process

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A17AT013

    Scalable, inexpensive manufacturing processes that produce yarns capable of storing energy are required for new breakthroughs within the wearable electronics sector. To enable to further improve the properties of yarn-based electrochemical performance in energy-storage systems, fiber-based yarns are proposed and developed via a scalable and cost effective wet spinning manufacturing process, and la ...

    STTR Phase II 2018 Department of DefenseArmy
  4. Engineered Strain for Bioconversion of Food Waste to Fuels

    SBC: Technology Holding, LLC            Topic: A17AT011

    The strain engineering effort will constitute development of a synthetic biology toolkit applicable for food waste conversion in clostridium. The engineered strain will enable high efficiency conversion of army food waste to fuel. The proposed project will scale up a clostridium based fermentation method to produce fuel from food waste. A batch reactor will be optimized. Overall techno-economic fe ...

    STTR Phase II 2018 Department of DefenseArmy
  5. Multiple Hit Performance of Small Arms Protective Armor

    SBC: TRANSPARENT ARMOR SOLUTIONS INC.            Topic: A14AT017

    Our nation’s warfighters require advanced armor to give them the best protection while allowing mobility to perform their missions. This proposal will develop two powerful tools to aid future body armor advancements. First, this research program will develop a statistical analysis software that will predict likelihood of impacts based on defined attack scenarios (i.e. rifle, distance and firing ...

    STTR Phase II 2018 Department of DefenseArmy
  6. Method for Locally Measuring Strength of a Polymer-Inorganic Interface During Cure and Aging

    SBC: METNA CO            Topic: A17AT016

    The NMR relaxometry instrument developed in Phase I project will be refined and thoroughly calibrated for nondestructive evaluation of the structure and properties of polymer-inorganic interfaces. The system design, operation conditions and data acquisition/analysis algorithms will be improved for precise and reliable evaluation of the structure and properties of the interfaces formed between dive ...

    STTR Phase II 2018 Department of DefenseArmy
  7. ADA Conformable Wearable Battery-Hybrid Electrical Energy Storage System: A Rechargeable, Safe and High Performance Energy Storage Solution

    SBC: ADA TECHNOLOGIES, INC.            Topic: A15AT010

    ADA Technologies, Inc. proposes to transition our previously developed BB-2590 Hybrid Electrical Energy Storage System (HEESS) architecture into a Conformable Wearable Battery format, or CWB-HEESS (Figure 1). We seek to satisfy a meaningful, Army Program Executive Office (PEO) Soldier need for a rechargeable, safe and high energy CWB. We anticipate the CWB-HEESS will have broad U.S. Dept. of Defen ...

    STTR Phase II 2018 Department of DefenseArmy
  8. High Dynamic Range Heterodyne Terahertz Imager

    SBC: LONGWAVE PHOTONICS LLC            Topic: A17AT007

    The Tunable Active HEterodyne Terahertz Imager (TAHETI) system will use Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for ultra-high dynamic range heterodyne imaging. Distributed feedback (DFB) QCLs with milliwatt power levels are engineered to emit at slightly offset frequencies, and are used as local oscillator and illumination for imaging. The QCLs will be down ...

    STTR Phase II 2018 Department of DefenseArmy
  9. 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
  10. 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
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