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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. 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
  3. Analyzing Narrative Evolution Across Social Networks

    SBC: ACCRETE AI GOVERNMENT LLC            Topic: SOCOM234001

    Accrete proposes developing a social media exploitation platform to achieve a revolutionary information advantage for the command. It will: map social media networks, measure engagement and quantify influence, track narratives and trace mis-/disinformation to its source. The adapted version will automatically translate content across data sources from 100+ languages to eliminate language barriers ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  4. DTIC NLP & ML for Advanced Analytics

    SBC: NINOH, INC.            Topic: AF193CSO1

    The ability for the Department of Defense to keep pace with rapidly-expanding content, both internal and external, requires human - machine teaming, utilizing AI-based tools for information aggregation, organization and summarization, so that humans can focus on analysis and decision making.

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  5. Advanced social network engagement effectiveness monitoring

    SBC: Octant Data, LLC            Topic: AF203CSO1

    Adversaries and competitors of the United States are increasingly leveraging the rapidly evolving Information Environment (IE) to advance their strategic interests against those of the US and allied nations. Maintaining an information advantage in the progressively fragmented online landscape is challenging, as the impact of activities in the IE are difficult to discern and “real-world” effect ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  6. Analyzing Narrative Evolution Across Social Networks

    SBC: Octant Data, LLC            Topic: SOCOM234001

    Octant’s social media network mapping and content modeling approaches will be leveraged to create high-resolution models of information environments spanning key neighboring countries, issues, and state media sources likely to be targeted by information and influence operations. These models will enable the ability to rapidly understand the narratives being spread through the network and how the ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  7. E-HazID- Integrated RFID, Sensing and Communication System for Safe Transportation of HAZMAT

    SBC: NEWPORT SENSORS INC            Topic: 23PH2

    The transportation of hazardous materials (HAZMAT) poses a significant risk to human health and the environment, as evidenced by recent disastrous derailments of freight trains. To enhance the safe transport of HAZMAT, a groundbreaking technology system called E-HazID is proposed. E-HazID integrates RFID with various sensors in a wireless tag that is placed on each HAZMAT package to identify and t ...

    SBIR Phase I 2023 Department of Transportation
  8. 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
  9. 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
  10. 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
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