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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. Hydrosat: Next Generation High-Resolution Daily Surface Temperature for Interconnected Earth Processes

    SBC: HYDROSAT INC            Topic: 94

    Temperature is the critical signal that allows monitoring of a myriad of Earth’s processes. From direct measurements of wildfire and urban heat to more complex relationships with drought, agriculture, aquaculture, and biodiversity, maintaining a steady pulse on Earth’s surface temperature enables us to mitigate for and adapt to the impacts of extreme events and increasingly variable water avai ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Low SWaP, UxS-Mounted System for In-Situ Monitoring of Harmful Algal Blooms

    SBC: HYDROSAT INC            Topic: 92

    The brevetoxins (PbTx) produced by Karenia brevis cause harmful algal blooms (HAB) or "red tide" in seawater. Currently, the only available ways of detecting PbTx are laboratory tests such as enzyme-linked immunosorbent assays, which are expensive and slow, and require complex instrumentation and multiple processing steps. In previous work Intelligent Optical Systems (IOS) demonstrated a compact l ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Radio Location Tracker Mobile Mesh System

    SBC: WISER Systems, Inc.            Topic: USDA813

    WISER Systems, Inc. is a small, woman-owned, disadvantaged business providing best-in-class real-time location systems (RTLS) for nearly any environment. WISER’s RTLS powers applications in aerospace, manufacturing, warehousing, yard management, and many other industries. Unlike GPS-based solutions, WISER’s Redundant Radio Localization and Tracking (RRLT) technology enables autonomous position ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  5. 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
  6. 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
  7. 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
  8. Low/No Code Data Manipulation and Discovery for Special Operations Forces

    SBC: THE AVASCENT GROUP, LTD.            Topic: SOCOM224D003

    Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as su ...

    SBIR Phase II 2022 Department of DefenseSpecial Operations Command
  9. 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
  10. Yeast-Based Biosensors for Detecting Pathogenic Bacteria in Aquaculture System

    SBC: MIMETICS, LLC            Topic: 91

    This Phase I SBIR Project proposes the development of a novel Yeast-Based Biosensor for detecting pathogenic microbes in aquaculture water. Diseases due to bacteria and viruses cost aquaculture producers tens of millions of dollars annually in lost production. Early detection of the microbes that cause these diseases is the key to stopping the spread of the disease and limiting losses. Current tes ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
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