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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. DetectID: Improving the Detection of Impaired Driving Through Virtual Reality Training

    SBC: Innovation Research And Training, Inc.            Topic: 23NH2

    Impaired driving due to alcohol and drugs is a significant public health and safety problem in the U.S. The detection and enforcement of impaired driving laws are key to reducing this problem. Virtual reality training has the potential to support law enforcement officers in obtaining the necessary knowledge and skills to effectively detect impaired drivers. DetectID will be an immersive, accessibl ...

    SBIR Phase I 2023 Department of Transportation
  2. 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
  3. 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
  4. Automated monitoring of salmonoids in streams with new solid-state LiDar

    SBC: FIELD DATA SERVICES LLC            Topic: 93

    Maintaining healthy populations of salmon and trout (salmonids) has significant biological, cultural, and economic benefits. Significant data gaps exist for sources of mortality in juvenile and adult salmonids in small streams. These gaps can create discrepancies between main stem escapement counts and estimates of population health. Field Data Services, LLC is developing novel camera trap technol ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. The pHyter and Other Oceanographic Tools for Citizen Science and STEM

    SBC: SUNBURST SENSORS, LLC            Topic: 95

    The pHyter is a handheld device that accurately measures pH using colorimetry, communicating with a cellphone via Bluetooth Low Energy. The app records location, time, temperature, pH and meta-data. In Phase I, we redesigned the instrument using an ‘internet of things’ development platform, modified the app to operate on both Android and iOS phones, and showed, through a network of partners, t ...

    SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Live and Continuous Monitoring of Metal Cylinders and Tanks using Distributed Carbon Nanomaterial-based Sensing Networks

    SBC: MCET TECHNOLOGIES LLC            Topic: 22PH1

    This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...

    SBIR Phase I 2022 Department of Transportation
  7. Automated Monitoring of Salmon Streams with a New Solid-State LiDAR

    SBC: FIELD DATA SERVICES LLC            Topic: 93

    Field Data Services (FDS) proposes a technical feasibility study of newly available solid state LiDAR sensor chips for detecting migrating anadromous fish in small spawning streams. The LiDAR chip, first introduced in October 2020, uses an invisible infrared laser to measure time-of-flight distances to nearby objects with millimeter accuracy. This tiny computer chip is breakthrough technology that ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  8. 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
  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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