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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. Applications of AI to ensemble forecasts of compound extreme weather events in support of operational adaptation of electric utilities

    SBC: CLIMATE FORECAST APPLICATIONS NETWORK, LLC            Topic: 91

    We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Developing a proof-of-concept Neutral Density Monitoring and Alert Service for satellite operators.

    SBC: ENSEMBLE GOVERNMENT SERVICES, LLC            Topic: 95

    Ensemble intends to develop a proof-of concept Neutral Density Monitoring and Alert Service. To establish an innovative and accurate space weather analytics service, Ensemble has partnered with CU Boulder's SWx-TREC, who offer leading space weather research-to-operations support. Ensemble will create the foundational architecture for Neutral Density Alerts and Notifications for commercial satellit ...

    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. An Ultrawideband RFI-Mitigating Software Defined Radiometer

    SBC: DeepSpace Technologies, Inc            Topic: 94

    Anthropogenic Radio-Frequency Interference (RFI), or interference from human-generated sources, continues to plague spaceborne microwave radiometer and sounder instruments. Unmitigated RFI adversely affects the quality and reliability of Earth remote sensing data used for determining water availability, quality, and risk. Proliferation of wireless technologies, Earth-orbiting commercial satellite ...

    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. 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
  8. TALONS for Marine Mammal Detection

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: 94

    While increases in maritime shipping traffic continue on an exponential trend, marine mammals, especially the critically endangered Right whale, is experiencing ever increasing injuries and deaths due to ship strikes and fishing gear entanglements. This SBIR seeks to combine two fielded prototype technologies- a parafoil built for the US Navy (TALONS), and a whale detection sensor system that woul ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  9. NEXT GENERATION OBSERVATION AND MODELING SYSTEMS

    SBC: INNOVIM, LLC            Topic: 9503

    Atmospheric Rivers (AR) transport large volumes of water vapor outside the tropics and, when making landfall, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and significant damage to property and lives. Accurate forecasts of precipitation during landfalling ARs are critical because of their large role in water supply ...

    SBIR Phase II 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  10. A NEW MACHINE LEARNING TECHNIQUE FOR ACCURATELY FORECASTING EXTREME PRECIPITATION FROM LANDFALLING ATMOSPHERIC RIVERS

    SBC: INNOVIM, LLC            Topic: 9503

    Atmospheric rivers transport large volumes of water vapor outside the tropics and when landfalling, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and damage. Accurate forecasts of precipitation during landfalling atmospheric rivers are critical because they play a large role in water supply and flooding. However, th ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
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