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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. VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: A18BT008

    SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a fo ...

    STTR Phase I 2019 Department of DefenseArmy
  2. Shear Stabilization Based Framework for the Failure Testing and Analysis of HSCs

    SBC: Roccor, LLC            Topic: AF17AT019

    Over the past 2 years, Roccor has successfully qualified and delivered High Strain Composite (HSC) products for space-flight customers including, 1) RF-Furlable boom, 2) a furlable-antenna system; and is currently qualifying HSC products for space-flight customers including 3) an FCC certified deorbit device, and 4) a solar array deployment system. Three of these missions will be launched in 2018. ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Explainable Query Refinement for Human Machine Teaming

    SBC: KITWARE INC            Topic: SOCOM18B001

    The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...

    STTR Phase I 2019 Department of DefenseSpecial Operations Command
  4. Cervical Spine Health Improvement Products

    SBC: SWITCHBOX INC            Topic: DHA18B001

    Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  5. Multi-Physics Analysis Tool for High-Energy Gas Lasers

    SBC: Material Flow Solutions, Inc.            Topic: MDA16T001

    Based on the results of our Phase I work, one significant barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die. Our hypothesis: an increase in quality batteries production can be achieved if powder preparation process can be optimized and the die filling process controlled. We feel that control o ...

    STTR Phase II 2019 Department of DefenseMissile Defense Agency
  6. Low Cost Magnetic Sensor for Mine Neutralizer Identification and Charge Placement

    SBC: QUSPIN INC.            Topic: N17AT013

    Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Efficient cFS-based On-board Lamberts Solution for DSMs

    SBC: ADVANCED SPACE LLC            Topic: T11

    Distributed Spacecraft Missions (DSM) architectures provide unique scientific and programmatic benefits including multipoint in-situ measurements, multi-angle viewpoints, and improved understanding of the connections between separately measured phenomena and their time variations. However, these missions impose significant operational demands on ground tracking resources and mission operators alik ...

    STTR Phase II 2019 National Aeronautics and Space Administration
  8. DRAGONS – Dynamic Resource Allocation Gains for Operational Networked Sharing

    SBC: Intelligent Automation, Inc.            Topic: A18BT007

    Sharing platforms have already transformed some sectors of civilian logistics, promoting the efficient utilization of resources, such as cars and bicycles. Sharing resources is particularly desirable when those resources are costly, and high utilization is critical, characteristics often observed in military settings. In order to address specific constraints imposed by military applications on res ...

    STTR Phase I 2019 Department of DefenseArmy
  9. An Ultrasonic Wireless Sensor Network for Data Communication and Structural Health Monitoring

    SBC: X-Wave Innovations, Inc.            Topic: T12

    Sensor networks embedded on structures, such as pipes, bridges, railways, aircraft wings and fuselage, among others, are required to transfer data related to the health of the structure. This data is typically sent to a central location where it can be processed, displayed, and analyzed. Typical Structural Health Monitoring (SHM) uses embedded ultrasonic transducers exclusively for non-destructive ...

    STTR Phase II 2019 National Aeronautics and Space Administration
  10. Quantum Sensor for Direction Finding and Geolocation

    SBC: HYPRES INC            Topic: AF17AT028

    Innovations in materials and nanoelectronics have made it possible to measure electromagnetic signals with unprecedented precision and near quantum limited sensitivity. Magnetic field sensors such as superconducting quantum interference devices (SQUIDs) have been theoretically explored by the Air Force for high frequency direction finding (HFDF) applications. The objective of this project is to fa ...

    STTR Phase II 2019 Department of DefenseAir Force
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