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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. Acoustic Internal Automated Concrete Tie Tester

    SBC: NDT CORPORATION            Topic: 23FR1

    NDT Corp. will take the currently developed ACTT system, which can accurately assess the internal condition of concrete crossties and increase its speed.FRA 23-FR1 requests a system that at high speeds can assess both the internal and external condition of concrete crossties.Currently there are systems that can perform the external assessment at the required speeds.However, there is no system that ...

    SBIR Phase I 2023 Department of Transportation
  2. Wearable Altering Tactile Cues for Hazard Response

    SBC: TRITON SYSTEMS, INC.            Topic: 23PH4

    First responders to hazardous material (HAZMAT) incidents face many safety risks daily, such as exposure to hazardous chemicals and toxic gases, which can be difficult to detect. Although there have been advancements in wearable sensors for hazardous gases, sensor technology for HAZMAT incident response lags behind sensor technology advancement in biomedical fields. There is a need to integrate se ...

    SBIR Phase I 2023 Department of Transportation
  3. A Data-Driven Multi-Perspective Solution for Improving Transit Bus Safety

    SBC: Tranalytics, LLC            Topic: 22FT1

    This research proposes a data-driven and multi-perspective solution to reduce injuries and fatalities due to bus collisions with other vehicles. It goes beyond reviewing historical bus crash reports by collecting field LiDAR data for better understanding a variety of factors that may contribute to bus collisions and injuries/fatalities. It also recognizes that collision avoidance technologies (whi ...

    SBIR Phase II 2023 Department of Transportation
  4. NDT of Fracture Toughness for Pipeline Steels

    SBC: FBS INC            Topic: 180PH1

    NDT of Fracture Toughness for Pipeline Steels3/16/2018Ultrasound-based technology to nondestructively determine fracture toughness of pipeline steels will be developed. Fracture toughness is the material parameter that, along with applied loading and flaw geometry, dictates the critical crack size, and therefore controls the flaw size that must be detected during inspections. A major challenge fac ...

    SBIR Phase II 2023 Department of Transportation
  5. Development of a CO2 Breathing Anthropomorphic Test Device

    SBC: X-BIOMEDICAL INC            Topic: 23NH1

    Tragically, 936 children have died in hot cars since 1998. Wisely, NHTSA has prioritized evaluation of sensor systems in vehicles for “the ability to detect unattended children and prevent heat stroke occurrence.”Recently, innovators have developed systems that detect children present in the vehicle by measuring carbon dioxide (CO2) in the vehicle cabin, but there is no test method to assess w ...

    SBIR Phase I 2023 Department of Transportation
  6. A Data-Driven Multi-Perspective Solution for Improving Transit Bus Safety

    SBC: Tranalytics, LLC            Topic: 22FT1

    This research proposes a data-driven and multi-perspective solution to reduce injuries and fatalities due to bus collisions with other vehicles. It goes beyond reviewing historical bus crash reports by collecting field LiDAR data for better understanding a variety of factors that may contribute to bus collisions and injuries/fatalities. It also recognizes that collision avoidance technologies (whi ...

    SBIR Phase I 2022 Department of Transportation
  7. Autonomous, In-Situ Fugitive Microplastic Detector and Datalogger

    SBC: OPTOWARES INC            Topic: 21FH1

    In-place resurfacing of asphalt-based wear layers is an increasingly common method of roadway rehabilitation. With the addition of waste microplastics to bitumen binders as performance improvers, the grinding of asphalt during in-place resurfacing potentially brings microplastic particulate pollution to every community in the US. In addition, the wear of roadway surfaces is a known major source of ...

    SBIR Phase II 2022 Department of Transportation
  8. Artificial Intelligence Enabled Risk Assessment Tool for Condition-Based Sanitization of Public Transit Vehicles

    SBC: Interphase Materials, Inc.            Topic: 21FT2

    In response to the DOT’s FY21 SBIR topic 21-FT2, Interphase Materials (IPM) proposes the development of a low-cost automated data collection system that uses machine learning (ML), a type of artificial intelligence (AI), to predict and alert transit agencies of biological and viral contamination risks making condition-based sanitization possible for more effective and efficient operations.The CO ...

    SBIR Phase II 2022 Department of Transportation
  9. Autonomous, In-Situ Fugitive Microplastic Detector and Datalogger

    SBC: OPTOWARES INC            Topic: 21FH1

    In-place resurfacing of asphalt-based wear layers is an increasingly common method of roadway rehabilitation. With the addition of waste microplastics to bitumen binders as performance improvers, the grinding of asphalt during in-place resurfacing potentially brings microplastic particulate pollution to every community in the US. In addition, the wear of roadway surfaces is a known major source of ...

    SBIR Phase I 2021 Department of Transportation
  10. Artificial Intelligence Enabled Risk Assessment Tool for Condition-Based Sanitization of Public Transit Vehicles

    SBC: Interphase Materials, Inc.            Topic: 21FT2

    In response to the DOT’s FY21 SBIR topic 21-FT2, Interphase Materials (IPM) proposes the development of a low-cost automated data collection system that uses machine learning (ML), a type of artificial intelligence (AI), to predict and alert transit agencies of biological and viral contamination risks making condition-based sanitization possible for more effective and efficient operations.The CO ...

    SBIR Phase I 2021 Department of Transportation
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