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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. MK III Upper Extremity Exoskeleton

    SBC: Ekso Bionics Inc            Topic: 739552

    As the carry and protective gear of the modern war fighter increases, the burden on the human body will necessarily increase. In our present TALOS MkIII project, we are developing lower body augmentation to preserve speed and agility while bearing this weight. Yet we cannot ignore the impact of this weight on the upper body: in this project we propose to develop an upper body exoskeleton with p ...

    STTR Phase II 2015 Department of DefenseSpecial Operations Command
  2. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Low Visibility Radio Frequency Resonator

    SBC: VIRTUAL EM INC.            Topic: SOCOM19A001

    A prototyping effort is being proposed to develop methods and tools for utilizing structures of opportunity as efficient radiations in the HF, VHF and UHF bands.

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  4. Human-Machine Teaming with Machine Learning Algorithms

    SBC: KITWARE INC            Topic: SOCOM18B001

    Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  5. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
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