You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. 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
  2. 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
  3. 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
  4. Multi Domain Virutal Innovation

    SBC: MYSTIC SPEAR, LLC            Topic: SOCOM213D009

    Team Mystic Spear will identify and procure a best-in-class software package capable of identifying, interrogating, extracting, correlating, and fusing data from sensors into a standard dashboard of USSOCOM’s choosing. We will also discuss APIs and all things access with smaller Smart Cities that also have Port facilities to determine any less obvious sensor/data feeds. From this research we wil ...

    SBIR Phase II 2022 Department of DefenseSpecial Operations Command
  5. 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
  6. Antenna Distribution System

    SBC: NOKOMIS INC            Topic: SOCOM211001

    Antenna capabilities are critical to acquiring warfighter intelligence collection, surveillance, and reconnaissance (ISR) using a variety of receiver platforms, requiring agility in frequency, bandwidth, gain, directionality, polarization, and durability. Dynamically and automatically reconfigurable antenna connection concepts are proposed herein, by applying recently available lightweight, low po ...

    SBIR Phase I 2021 Department of DefenseSpecial Operations Command
  7. NDT of Fracture Toughness for Pipeline Steels

    SBC: FBS INC            Topic: 180PH1

    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 facing pipeline operators is that many pipelines are old, making their structural integrity uncertain, and that material pedigree of the pipeline steel is unknown. Therefor ...

    SBIR Phase II 2020 Department of Transportation
  8. NON-INVASIVE NEUROENHANCEMENT TO OPTIMIZE AUTONOMIC NERVOUS SYSTEM REGULATION AND BEHAVIORAL HEALTH WITH TRANSCUTANEOUS VIBRATORY STIMULATION

    SBC: Apollo Neuroscience, Inc.            Topic: SOCOM182002

    Apollo is a patent-pending AI software platform that integrates with connected hardware to deliver physiologically-reactive vibration, demonstrated in a double-blind randomizedplacebo-controlled clinical trial, to improve resilience, as measured by heart rate variability, and performance under stress by up to 25%.Using physiological measurement and environmental data, Apollo identifies each users ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  9. NDT of Fracture Toughness for Pipeline Steels

    SBC: FBS INC            Topic: 180PH1

    NDT of Fracture Toughness for Pipeline Steels 3/16/2018 Ultrasound-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 challeng ...

    SBIR Phase I 2018 Department of Transportation
  10. Rapid Acquisition Demonstrator

    SBC: SciSwift LLC            Topic: SOCOM18004

    This proposal is for a feasibility study on the creation of an integrated software development platform to demonstrate how software projects can rapidly, reliably, and securely be created nearly on-demand. Furthermore, this study attempts to solve the rating and vetting of developers problem, based on their code quality, efficiency, and work product, using a novel machine learning system.The study ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
US Flag An Official Website of the United States Government