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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. Pathogen Classification Tool (PACT)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST18C002

    Stottler Henke proposes PACT to address the threat posed by unknown/novel bacteria. Stottler Henke’s solution leverages AI/ML technologies to assess the pathogenic potential of unknown/novel bacteria for DARPA’s Biological Technologies Office. Threat assessment is inferred from phenotype as characterized by a series of assays developed by Harvard University as part of DARPA’s Friend or Foe p ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. Visual Relative Navigation

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many DoD ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. 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
  4. Principled Design of an Augmented Reality Trainer for Medics

    SBC: UNVEIL LLC            Topic: DHP17A003

    Augmented reality (AR) offers the ability to enhance existing combat medic training by including perceptual cues and adaptive training elements to traditional simulation-based training using manikins. Unveil has developed a training system called the Macrocognitive AR Trainer (MART). MART is designed to foster the development of macrocognitive skills (e.g., sensemaking, assessment skills, mental m ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  5. Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

    SBC: Spectral Md, Inc.            Topic: DHP17A006

    The primary objective of this Phase II proposal is to construct and validate the portable SpectralMD DeepView imaging technology designed previously in Phase I. This device allows surgeons to quickly and objectively assess tissue viability in burn surgery prior to skin grafting. DeepView uses machine learning and multispectral imaging to generate quantitative prognostic images with easily interpre ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  6. Dynamic virtual moulage based on thin film adhesive displays

    SBC: ARCHIE MD INC.            Topic: DHA17A002

    Providing Army combat medics with meaningful experience in treatment of battlefield injuries is a particular challenge. Moulage has the potential to assist in acquiring what could otherwise be very hard-to-come-by preparatory experience for distressing real-life emergencies medics and soldiers may encounter in the field. However, current approaches to moulage are limited in their ability to reflec ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  7. First Principles Selection of Social Media Visualizations

    SBC: INFERLINK CORP            Topic: ST12A004

    As the importance of social networks skyrockets, so does the need to understand human behavior in these forums. While statistical analyses can help to some extent, many types of patterns are simply not visible by looking at raw numbers. However, many of these patterns do emerge in visualizations, and the innate human ability to see these patterns in graphical depictions represents a valuable oppo ...

    STTR Phase II 2013 Department of DefenseDefense Advanced Research Projects Agency
  8. Tunable, High-Q Filters for UHF Communications

    SBC: MEMTRONICS CORPORATION            Topic: SB12A006

    There is a clear gap between commercially available UHF tunable filters and the technology needs of current military communication systems. MEMtronics Corporation, teamed with Purdue University, intend to develop and commercialize technology that fills this gap. The intent of this Phase II project is continue the successful demonstrations began in Phase I and bring the technology to a level of ma ...

    STTR Phase II 2013 Department of DefenseDefense Advanced Research Projects Agency
  9. Automated Video Activity Analysis for Military Operations

    SBC: MAYACHITRA, INC.            Topic: ST081010

    The increasing use of video in force protection, autonomous vehicles reconnaissance, and surveillance in general has created a great demand for automated analysis and monitoring. It is infeasible to have humans monitoring and analyzing the vast amount of video used in such surveillance, and automated analysis yields hope to ease the burden and increase the amount of information extracted from col ...

    STTR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
  10. Dynamic Multisensor Exploitation (DYME)

    SBC: Technology Service Corporation            Topic: ST081008

    The challenges faced by airborne and ground-based sensors in detecting, classifying, identifying, associating and tracking difficult moving targets, such as insurgent forces, operating in difficult terrain such as mountains and forests will be addressed. Our team will quantify the performance that can be achieved using multi-sensor, multi-spectral, and multi-platform techniques, where the sensors ...

    STTR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
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