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. CRANE: Cervical Readiness Using Analytics and Non-Invasive Evaluation

    SBC: APTIMA INC            Topic: DHA18B001

    Current cervical spine assessment methodologies are focused on subjective measures (i.e. pain reports) and range-of-motion (ROM) measures that only measure maximum head excursion and reach, but not dynamic motion. Due to report bias and existing incentive

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  2. No Power Bionic Lower Extremity Prostheses

    SBC: LIBERATING TECHNOLOGIES INC            Topic: DHP16C007

    Current prosthetic feet produce much less peak mechanical power than the able-bodied foot/ankle and release only about half of the mechanical energy generated during gait. This leads to higher energy expenditure among amputees as compared to able-bodied i

    STTR Phase II 2019 Department of DefenseDefense Health Agency
  3. CogTracer

    SBC: SOAR TECHNOLOGY INC            Topic: AF18BT001

    From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Deep Agent with Self-learning for Human Events Recognition (DASHER)

    SBC: BOSTON FUSION CORP            Topic: AF18BT002

    Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Carbon Nanotube FET Modeling and RF circuits

    SBC: METIS DESIGN CORP            Topic: AF18BT006

    The computing demands of future data-intensive applications far exceed the capabilities of today’s electronics and cannot be met by isolated improvements in transistor technologies or integrated circuit (IC) architectures alone. Carbon Nanotube Field-Effect Transistors (CNFET) technology has emerged as leading candidate for energy-efficient and high-performance digital systems. Unfortunatel ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Airborne Video Inspection for Automatic Targeting with Ontology Reasoning (AVIATOR)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF18BT007

    Improved cameras and unmanned air vehicles (UAVs) have led to an explosion in the amount of airborne imagery and video collected by Air Force assets, but there are not enough trained personnel to analyze this imagery in real time. Thus, targets of opportunity and threats go undetected until the chance to act on them has passed. Automatic target detection could alleviate the burden on analysts and ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Ultra-fast Multiframe X-ray Imaging System for Explosive Events

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: AF18BT014

    Measuring the response of explosives to a variety of thermal and mechanical inputs is important to understand and ultimately predict the reaction violence of an explosive in an accident scenario. Technically, there are many challenges to overcome in observing explosives response. For instance, secondary high explosives are heterogeneous and optically opaque and often need to be confined in metal c ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. X-ray Cinematography for Explosive Events

    SBC: DIVERSIFIED TECHNOLOGIES, INC.            Topic: AF18BT014

    Diversified Technologies, Inc. (DTI) proposes to develop a Multiple Pulse flash X-ray source which can be used to make high resolution X-ray movies of explosive and ballistic tests. The new source will allow researchers to capitalize on recent advances in very high speed cameras which allow high resolution images with many frames. DTI will extend our world-class pulsed power capabilities to this c ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Rapid Nondestructive Inspection of Traditionally Uninspectable Adhesively-Filled Composite Joints

    SBC: THERMAL WAVE IMAGING INC            Topic: AF18BT016

    NDI of composite Pi/T-Joints presents significant challenges to existing inspection technologies resulting in a barrier to implementation in production. We will investigate feasibility of developing an active thermography NDI solution for real-world inspection of composite structures with T / Pi- joints during the manufacturing process (both green and cured states). Based on the extensive experien ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. SHADE (Shared Awareness in Denied Environments): A Decision Support Tool for Mixed-Initiative Teams

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF19AT001

    SSCI and ASU (Prof. Nancy Cooke) propose to develop SHADE (Shared Awareness in Denied Environments) - a comprehensive decision support tool which will facilitate smooth mission execution under information degradation and losses in mixed initiative teams (MIT) involving collaborating autonomous vehicles. In Phase I we propose to perform initial development, integration and testing of the SHADE tech ...

    STTR Phase I 2019 Department of DefenseAir Force
US Flag An Official Website of the United States Government