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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. Ulap Automated Detection

    SBC: ULAP INC            Topic: A234007

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  2. CaptureCrete: Active, Permanent CO2 Capture and Storage for Concrete

    SBC: CARBON LIMIT CO            Topic: A224016

    Redacted.

    SBIR Phase II 2023 Department of DefenseArmy
  3. Power Management for Energy Resiliency

    SBC: PC KRAUSE & ASSOCIATES INC            Topic: A224015

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  4. Wide Bandgap Bi-Directional Converter Phase II

    SBC: PC KRAUSE & ASSOCIATES INC            Topic: A214030

    The objective of this effort is to demonstrate a 600 Vdc to 28 Vdc, isolated bi-directional power converter that utilizes wide bandgap semiconductors and can operate across a range of military ground vehicles.  The proposed converter is based on a modular topology that contains a combination of GaN and SiC devices, provides at least 15 kW bi-directional power flow continuously, and satisfies the ...

    SBIR Phase II 2023 Department of DefenseArmy
  5. Power Management for Energy Resiliency

    SBC: PC KRAUSE & ASSOCIATES INC            Topic: A224015

    Redacted.

    SBIR Phase II 2023 Department of DefenseArmy
  6. Deep Focus

    SBC: CLOSTRA INC            Topic: A17133

    Redacted

    SBIR Phase II 2023 Department of DefenseArmy
  7. GNN Swarm

    SBC: CLOSTRA INC            Topic: A214045

    Robust collaboration is needed between different agents in various Unmanned Aerial/Ground Systems (UxS).  ML/AI development has enabled development of a graph neural network (GNN)-based swarm control algorithm.  Clostra’s GNN-Swarm uses a GNN framework for mapping relationships between all members of a UxS swarm, and deep reinforcement learning (DRL) for organizing, training, optimizing, and ...

    SBIR Phase II 2023 Department of DefenseArmy
  8. Mixed Reality Trainer for Female Combat Casualty Care (MRT-FC3)

    SBC: VCOM3D INC            Topic: A234009

    For this Phase I SBIR project, Vcom3D will research and design a modular Mixed Reality (MR) medical manikin training system that builds on the Modular Healthcare Simulation and Education System (MoHSES) specifications and open-source resources. We will develop and demonstrate a proof-of-concept Mixed Reality Trainer for Female Combat Casualty Care (MRT-FC3) system that shows the concept of operati ...

    SBIR Phase I 2023 Department of DefenseArmy
  9. A224-023 ITVR

    SBC: Shock Stream LLC            Topic: A224023

    Redacted

    SBIR Phase II 2023 Department of DefenseArmy
  10. "ZERO Plastic" shipping containers for fabricating new parts from waste plastics

    SBC: ZERO PLASTIC LLC            Topic: A234P014

    Redacted.

    SBIR Phase I 2023 Department of DefenseArmy
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