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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. Persistently Elevated Gas-free Aerostatic Sensor Utility System (PEGASUS)

    SBC: Anuma Aerospace, LLC            Topic: 91

    Anuma Aerospace seeks to develop the conceptual design for, and determine the technical and economic feasibility of, a Persistently-Elevated, Gas-free, Aerostatic Sensor Utility System (PEGASUS), which will work like a data buoy in the sky, continuously collecting and transmitting weather data from the marine atmospheric boundary layer (ABL) with the data being made available via application progr ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Deployment Planning, Monitoring, and Navigation for Uncrewed Systems

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: 94

    In Phase I we developed a software capability for predicting the future positions of ocean drifters. We demonstrated the capability to predict drift for objects of varying shapes and train models based on historical observations. In Phase II we will leverage this software to perform high volume experimentation through which we will fully develop trained models using historical data for both passiv ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Logistics Management of Drifters and Predictive Methods for Ocean Sensing

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: 94

    We propose AI capabilities that improve modeling complex ocean dynamics and assist in the logistical management and planning of uncrewed deployment campaigns. Uncrewed sensor platforms sense and collect data for many interests, including tracking chemical and biological tracers, assimilating ocean dynamics observations into forecast models, and enhancing naval situational awareness. The recent eme ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  4. SOTERIA

    SBC: BIOMASON INC.            Topic: NA

    "Biomason’s proposed Soteria effort will eliminate key carbon incorporation elements within current biocement product production streams by: 1) urea substitution, 2) base aggregate mass carbon bundling, and 3) tuning of biocement speciation. In composite, these strategies will yield a carbon negative building material production strategy for cementitious materials that has the potential to suppl ...

    SBIR Phase I 2022 Department of EnergyARPA-E
  5. SOTERIA

    SBC: BIOMASON INC.            Topic: NA

    "Biomason’s proposed Soteria effort will eliminate key carbon incorporation elements within current biocement product production streams by: 1) urea substitution, 2) base aggregate mass carbon bundling, and 3) tuning of biocement speciation. In composite, these strategies will yield a carbon negative building material production strategy for cementitious materials that has the potential to suppl ...

    SBIR Phase II 2022 Department of EnergyARPA-E
  6. kV-class GaN-based Junction Barrier Schottky diodes using ion implantation

    SBC: ADROIT MATERIALS, INC.            Topic: T

    The objective of this work is to demonstrate GaN-based Junction Barrier Schottky (JBS) diodes using a novel ion implantation process developed in previously ARPA-E funded projects. The centerpiece of our proposed technology is selective area doping via implantation of Mg ions, which leverages our achievements in the ARPA-E PNDIODES program to push into commercial devices. The targeted application ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  7. kV-class GaN-based Junction Barrier Schottky diodes using ion implantation

    SBC: ADROIT MATERIALS, INC.            Topic: T

    The objective of this work is to demonstrate GaN-based Junction Barrier Schottky (JBS) diodes using a novel ion implantation process developed in previously ARPA-E funded projects. The centerpiece of our proposed technology is selective area doping via implantation of Mg ions, which leverages our achievements in the ARPA-E PNDIODES program to push into commercial devices. The targeted application ...

    SBIR Phase II 2021 Department of EnergyARPA-E
  8. Ion implantation-enabled fabrication of AlN based Schottky diodes

    SBC: ADROIT MATERIALS, INC.            Topic: T

    The objective of this work is to develop AlN-based Schottky diodes with electrical properties that will drastically reduce forward conduction losses compared to existing high-power diodes. This objective is achieved through ion implantation of Si in AlN, which provides a shallow ntype dopant in the n+ contact layers. Sophisticated point defect control processes are implemented for the controlled, ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  9. Ion implantation-enabled fabrication of AlN based Schottky diodes

    SBC: ADROIT MATERIALS, INC.            Topic: T

    The objective of this work is to develop AlN-based Schottky diodes with electrical properties that will drastically reduce forward conduction losses compared to existing high-power diodes. This objective is achieved through ion implantation of Si in AlN, which provides a shallow ntype dopant in the n+ contact layers. Sophisticated point defect control processes are implemented for the controlled, ...

    SBIR Phase II 2021 Department of EnergyARPA-E
  10. Setac: Enhancing Usability of Archived Weather Data in the Digital Age

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: 95

    NOAA has used historical documents such as ship logs and many other resources to collect weather data critical to modeling global and regional climate and weather conditions. To date, the optical character recognition (OCR) technology developed over the past three decades remains limited in the ability to recognize handwriting and reliably extract text in context. Machine Learning (ML) algorithms ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
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