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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. Active Material Technology to Improve Solar Sail Performance for Space Weather Monitoring

    SBC: NEXOLVE HOLDING CO LLC            Topic: 96

    Development of a reflection control and direction device (RCDD) is proposed. This innovative device will progress the state of the art for propulsion of solar sails used to fly space weather monitoring sensors to sub-LaGrange point orbits for earlier warning times of impending destructive space weather events. A reflection control device (RCD) utilizes polymer dispersed liquid crystal (PDLC) mater ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Developing the Drought Risk Overview Product (DROP): Improving Flash Drought Forecasts and Early Warning Using Machine Learning and Extreme Value Theory Techniques

    SBC: CFD RESEARCH CORPORATION            Topic: 91

    Drought is responsible for $327.7B in economic loss since 1980 in the United States and typically precedes, cooccurs, or initiates other hazards like wildfires or prolonged periods of intense heat. The compounding or cascading of these hazards routinely threatens the wellbeing and stability of communities. The economic impact from drought can be especially harsh when the drought begins rapidly in ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Jaia Robotics, Inc.

    SBC: Jaia Robotics, Inc.            Topic: 96

    "Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Enabling Expanded Crowdsourced Bathymetry Contributions With High Quality Metadata Via Commercially Sustainable Incentives To Contributors

    SBC: FARSOUNDER INC            Topic: 93

    A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. UrbanScale: Physics Informed Deep Learning Framework to Generate High-Resolution Urban Temperature Data

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 91

    Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Autonomous Environmental UAV Survey System for Wildfire Assessments

    SBC: Robotics 88, Inc.            Topic: 92

    Prescribed burns are a critical aspect of land management, but they require vegetation data that is hard to obtain at high resolution and on the timescale required. Our autonomous UAV collects critical fire modeling variables through subcanopy flight, enabling rapid surveys for faster and safer burn planning. In Phase I, we proved the feasibility of mapping live fuel moisture content (LFMC) with s ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  7. DeepSpace-AI – A Deep-Learning Based Offshore Monitoring System Using Satellite Imagery

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 93

    Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

    SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Autonomous Environmental UAV Survey System for Wildfire Assessments

    SBC: Robotics 88, Inc.            Topic: 92

    Wildfire response planning is limited by the lack of high-resolution data for use in wildfire prediction. Wildfire models depend on many variables, including weather, topography, vegetation type and arrangement, fuel moisture content, and regional fire prevention measures, among others. Some of these variables are static or nearly so, but some of these are highly dynamic. In particular, live fuel ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  9. DeepSpace-AI- A Deep-Learning Based Offshore Monitoring System Using Satellite Imagery

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: 93

    High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Weather Risk Information and Impacts for Schools Systems Kit

    SBC: CFD RESEARCH CORPORATION            Topic: 95

    The vision of a Weather-Ready Nation is achieved through the synthesis of the large number of NOAA products and services into meaningful and actionable information for community stakeholders and individual populations. Many community stakeholders such as school administrators find themselves in high-stakes weather-related decision-making situations where they are left to their self-interpretation ...

    SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration
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