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Award Data

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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. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

    STTR Phase II 2017 Department of DefenseNavy
  2. In-Mask Sensors for Physiological Investigation of Respiratory Exhalation- INSPIRE

    SBC: MAKEL ENGINEERING, INC.            Topic: DHP16C002

    Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  3. Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environments

    SBC: BAYSPEC, INC.            Topic: DHP16C002

    BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  4. Multimodal imaging system for burn injury assessment

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: DHP16C005

    The goal of this STTR effort is to design a portable, multimodal, non-contact imaging system for burn depth diagnosis and tracking of wound healing. UC and Vanderbilt University will build upon our previous efforts demonstrated via porcine model studies to combine results from structural B-mode optical coherence tomography (OCT) images and functional data (pulse speckle imaging- PSI) to classify d ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  5. Carbon Nanotube Technology for RF Amplification

    SBC: CARBON TECHNOLOGY INC            Topic: AF15AT15

    Theoretical studies have shown that the electrical current in a CNT Field Effect Transistor (CFET) is intrinsically linear. Inherently linear CNTs offer significant improvements in performance without sacrificing power and have the potential for greatly improving range and sensitivity in state-of-the-art receivers such as those used in satellite systems and other communications applicationsModelin ...

    STTR Phase II 2017 Department of DefenseAir Force
  6. Reliable, Safe, Lithium-ion Battery Enabled by a Robust Battery Management System

    SBC: Space Information Laboratories, LLC            Topic: N15AT001

    An advanced Li-Ion Battery Management System for DOD mission and safety critical platforms. The majority of Li-Ion Battery Management Systems (BMS) for DoD aircraft, helicopter, and directed energy weapons are custom designs for the individual Aerospace platform. This leads to increased cost over the battery life cycle due to the requirement to maintain the production facilities which produce repl ...

    STTR Phase II 2017 Department of DefenseNavy
  7. Auto-Docking Autonomous Burial Vehicle (AD-ABV)

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N11AT017

    Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...

    STTR Phase II 2017 Department of DefenseNavy
  8. Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST16C003

    We propose to investigate, in collaboration with the Massachusetts General Hospital Voice Center and Altec, Inc., the application of surface electromyography (sEMG) to assessing cognitive workload, strain, and overload. Specifically, sEMG sensors placed on the face and neck will detect emotional/motor responses to workload strain. The proposed effort will build on the substantial sEMG experience o ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  9. Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N17AT004

    We propose to adapt and automate the processes and technologies associated with evidence based decision support to the Navyproviding a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technologie ...

    STTR Phase I 2017 Department of DefenseNavy
  10. Cognitive Risk Management for UAS Missions

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N17BT035

    Enabling operators to command and control multiple UAVs will require higher levels of supervisory control, enabling vehicles to operate autonomously during larger portions of each mission. For the foreseeable future, however, critical portions of each mission will require operators to apply their superior knowledge, judgment, and skills to assess the situation, monitor execution more closely and, ...

    STTR Phase I 2017 Department of DefenseNavy
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