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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.

Displaying 1 - 10 of 219 results
 
  • Record 1 TO 219

  1. Component Optimization for Improved Refrigerant Recovery

    SBC: Optimized Thermal Systems, Inc.            Topic: 2E

    Refrigerants are known to have harmful impacts on the environment. It is essential that those that are particularly harmful with a high global warming potential (GWP) are recovered correctly for proper recycling or disposal. Unfortunately, all too often, refrigerant is not properly recovered either due to system failure, technician error, or unincentivized industry practice. With implementation of ...

    SBIR Phase I 2023 Environmental Protection Agency

  2. A novel water quality measurement system as a teaching aid for environmental education

    SBC: GAIAXUS LLC            Topic: 91990023R0016

    Not available

    SBIR Phase II 2023 Department of EducationInstitute of Education Sciences

  3. Infini-D Summits: An Online Platform for Immersive Full-Class Literacy Simulations

    SBC: INFINID LEARNING INC            Topic: 91990023R0011

    Not available

    SBIR Phase I 2023 Department of EducationInstitute of Education Sciences

  4. IsoTruss-Reinforced Concrete Foundations for Increased Resiliency to Natural Disasters

    SBC: Isotruss, Inc.            Topic: 4E

    In order to promote human and environmental health, infrastructure must become safer, longer lasting, and more sustainable. Telecommunication structures with resiliency to extreme conditions are particularly beneficial because they allow communications to continue even in emergency situations. IsoTruss Inc. will develop a composite-reinforced concrete foundation that will increase resiliency witho ...

    SBIR Phase I 2022 Environmental Protection Agency

  5. A novel water quality measurement system as a teaching aid for environmental education

    SBC: GAIAXUS LLC            Topic: 91990022R0001

    Not available

    SBIR Phase I 2022 Department of EducationInstitute of Education Sciences

  6. A Deep Learning Approach for Enhanced Identification of Nuclear Explosions

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    ML is a subset of AI. Discrimination based on SI signals is a module in monitoring systems(NDC & IDC. We will provde a prototype  that will incorporate elements of the discrimination procedures found

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency

  7. RADAVERSE: Radiation Dose Analysis, Verification, and Regulation System

    SBC: Intelligent Automation, Inc.            Topic: DTRA202002

    In the event of a radiological emergency first responders and critical personnel put themselves in harm’s way for the health and safety of the public. Critical to maintaining the health of individuals working in an emergent situation is to accurately monitor their radiological exposure and keep it within safe or acceptable limits. In order to overcome challenges in non-standardized radiological ...

    SBIR Phase I 2021 Department of DefenseDefense Threat Reduction Agency

  8. Pegasus(TM) Mini

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: DTRA182002

    Improvements will be made to the platform architecture and electronics to enhance system capability. Integration of Pegasus Mini into FoS allows Pegasus Mini to leverage capabilities FoS already uses.

    SBIR Phase II 2021 Department of DefenseDefense Threat Reduction Agency

  9. DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph

    SBC: Intelligent Automation, Inc.            Topic: DTRA19B002

    Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

    STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency

  10. LoomVue Browser: Supporting Language Learning with a Dynamic Diglot Weave

    SBC: KING'S PEAK TECHNOLOGY, INC.            Topic: 91990021R0003

    Not available

    SBIR Phase II 2021 Department of EducationInstitute of Education Sciences
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