You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. 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
  5. An Automated, High Throughput, Filter-Free Pathogen Preconcentrator

    SBC: CFD RESEARCH CORPORATION            Topic: A10AT016

    Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

    STTR Phase I 2010 Department of DefenseArmy
  6. A Tomographic Approach for Nadir-Looking Synthetic Aperture Radar (NadirSAR) Imaging

    SBC: Brilligent Solutions, Inc.            Topic: A16AT011

    The team proposes a 3D SAR algorithm based on the principles of radar tomography, which allows for transmitters and receivers to be arbitrarily located in a 3D volume. Data is collected and the output is a complete true 3D image of the reflectivity scene. The tomographic SAR provides detailed features on both horizontal (e.g., flat terrain) and vertical (e.g., building or canyons). With a proper ...

    STTR Phase I 2016 Department of DefenseArmy
  7. A universal framework for non-deteriorating time-domain numerical algorithms in Maxwell's electrodynamics

    SBC: COMPUTATIONAL SCIENCES LLC            Topic: A13AT008

    The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...

    STTR Phase I 2013 Department of DefenseArmy
  8. Automated Blood Component Separator

    SBC: Antek            Topic: A10AT026

    The objective of the proposed research is to develop a portable, passive system for rapid and efficient blood component separation. While a number of macro-scale devices are routinely employed in laboratory settings to separate, for example, red blood cells (RBCs) from platelet-rich plasma (PRP), and an emerging class of microfabricated devices are slowly being developed to address various low-th ...

    STTR Phase I 2010 Department of DefenseArmy
  9. Beliefs, Values, Interests and Practices of Identities, Networks, Groups for Planning & Analysis

    SBC: SECURBORATION, INC.            Topic: A16AT013

    The intelligence community still cannot satisfactorily answer critical fundamental preparation, planning, and execution questions about the environment in which US and allied forces operate and the people they seek to persuade. There is a vast amount of information, almost all of it unclassified, which characterizes population identities and interrelationships in terms of beliefs, values, interest ...

    STTR Phase I 2016 Department of DefenseArmy
  10. CCHAT Handoff Protocol

    SBC: SOAR TECHNOLOGY INC            Topic: DHA17B002

    Research has identified that handoffs are particularly important communication processes, during which communication error can lead to patient safety situations. Organizations have created standard practices and training materials to encourage teamwork communication for handoffs, however these do not necessarily capture the needs of military medicine of combat casualty care. Combat casualty handof ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
US Flag An Official Website of the United States Government