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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. Computational Biology Platform Technology for Cell Conversion and Differentiation

    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 II 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Human Performance Optimization

    SBC: HVMN Inc.            Topic: SOCOM17C001

    During altitude-induced hypoxia, operator cognitive and physical capacity degrades, compromising individual and team performance. Cognitive degradation is linked to falling brain energy levels, increased reliance on anaerobic energy production and lactate accumulation. Ketones are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies demonstrated that ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  3. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special OperationsForces (SOF)are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S.military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the funct ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  4. Cognitive Bias in Online Communication Activities (C-BOCA)

    SBC: SOAR TECHNOLOGY INC            Topic: N13AT024

    This effort will analyze publicly available online communication data, uniquely applying empirical results from the cognitive bias literature, to quantify the impact of cognitive biases on exposure to, use of, and propagation of online information. SoarTech, with its partners, will develop and evaluate methods to identify and measure cognitive biases in online information environments. The team wi ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  5. Generating Material Properties From Flight Representative Structures

    SBC: MATERIALS RESEARCH & DESIGN INC            Topic: ST16C002

    High-speed flight vehicles commonly use carbon / carbon (C/C) and carbon / silicon carbide (C/SiC) for structural components. These materials are chosen because of their superior structural properties at elevated temperatures. Most often, their properties are characterized using flat and thin material test plates. While this approach is convenient, it is not guaranteed to yield material properties ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. 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 MGH Voice Center and Altec, Inc., 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 of our partner, MGH (including resea ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  7. Heterogeneous Analysis of Group Interactions and Dynamics (HAGID) for Social Media Forecasting

    SBC: Perceptronics Solutions, Inc.            Topic: ST12B002

    This proposal is to extend into Phase II our development of a new system for Recognition of Communities and Heterogeneous Analysis of Group Interactions and Dynamics (RC-HAGID) for Social Media Forecasting. Social media enables groups, including terroris

    STTR Phase II 2015 Department of DefenseDefense Advanced Research Projects Agency
  8. A High-Level Operator Abstraction for GPU Graph Analytics

    SBC: Royal Caliber            Topic: ST13B004

    We are proposing a new software framework for analyzing very large graphs using massively parallel processors (GPUs). This framework will be commercialized on a cloud platform that gives users immediate access to highly advanced big-data analytics through a user-friendly web interface, as well as an HTTP API for easy integration. The platform can be deployed on a private cloud if desired. The sy ...

    STTR Phase II 2015 Department of DefenseDefense Advanced Research Projects Agency
  9. 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
  10. MAVIS: A Robust Real-Time SFM for SMAV

    SBC: ETOVIA SYSTEMS, INC.            Topic: ST051003

    We shall investigate, implement and demonstrate MAVIS, a 3D vision system incorporating robust Real-Time SFM for SMAV application scenarios. Automatic pose determination and extraction of 3D structure of the environment are critical to autonomous navigation and obstacle avoidance of SMAVs in constrained and crowded environments. Extracting such state information under various constraints (low qual ...

    STTR Phase II 2006 Department of DefenseDefense Advanced Research Projects Agency
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