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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. Non-HFC Multi-Agent Suppressant Fire Extinguishing System

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: A234002

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  2. AI-driven Wireless Attack Detection and Escape (AI-WADE)

    SBC: NEXCEPTA INC            Topic: A234007

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  3. AI/ML continuous training and deployment pipeline for UGVs

    SBC: INCEPTION ROBOTICS, LLC            Topic: A234007

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  4. Ulap Automated Detection

    SBC: ULAP INC            Topic: A234007

    Redacted

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

    SBC: CARBON LIMIT CO            Topic: A224016

    Redacted.

    SBIR Phase II 2023 Department of DefenseArmy
  6. Analytic for Federated Data (ALFRED) Phase II Enhancement

    SBC: PHOENIX OPERATIONS GROUP, LLC            Topic: A17053

    Redacted

    SBIR Phase II 2023 Department of DefenseArmy
  7. Deep Focus

    SBC: CLOSTRA INC            Topic: A17133

    Redacted

    SBIR Phase II 2023 Department of DefenseArmy
  8. 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
  9. Combat Vehicle Modernization – Advanced Hybrid Networks and Cable Management Strategies (KIDON-V)

    SBC: STACATO LLC            Topic: A206001

    Redacted.

    SBIR Phase II 2023 Department of DefenseArmy
  10. 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
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