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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. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI, INC.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

    SBC: MODUS OPERANDI, INC.            Topic: A18BT008

    The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wear ...

    STTR Phase I 2019 Department of DefenseArmy
  3. Autonomous Landing at Unprepared Sites for a Cargo Unmanned Air System

    SBC: SYNETICS SYSTEMS ENGINEERING CORP.            Topic: N10AT039

    A rapid prototyping simulation for the Autonomous Rotorcraft Land & Take-Off (ARLTO) system will be developed to analyze and evolve requirements for the landing and take-off of a Rotary-wing Autonomous Air Vehicle (RAAV) from unprepared terrain. The simulation is based upon the Task-Pilot-Vehicle modeling system and features a UH-60 configured with a Sliding Mode Control (SCM) inner loop closure. ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc.            Topic: AF17AT009

    Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Mitigation of USV Motions via Wave Sensing and Prediction

    SBC: ADVANCED SCIENTIFIC CONCEPTS, LLC            Topic: N10AT036

    Advanced Scientific Concepts, Inc. (ASC) has teamed with the Department of Ocean Engineering at The University of Rhode Island to devise a sensor suite and computer algorithm to predict ocean waves to aid autonomous boat navigation in heavy weather. The centerpiece of the sensor suite is a Lidar designed by ASC that is adapted to image the ocean at glancing angles. It’s ability to acquire a 3D s ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Mobile Health Application for Family and Behavioral Health Provider Communication

    SBC: INFERLINK CORP            Topic: A13AT018

    Clinical monitoring of mental health status has not evolved much from the routine meeting between patient and clinician, which suffers from a lack of quantification, irregular and anecdotal reporting, and does not necessarily include input from caregivers. This is unfortunate given today's technology, where people routinely volunteer to track their own health related behavior, such as exerc ...

    STTR Phase I 2013 Department of DefenseArmy
  7. First Principles Selection of Social Media Visualizations

    SBC: INFERLINK CORP            Topic: ST12A004

    As the importance of social networks skyrockets, so does the need to understand human behavior in these forums. While statistical analyses can help to some extent, many types of patterns are simply not visible by looking at raw numbers. However, many of these patterns do emerge in visualizations, and the innate human ability to see these patterns in graphical depictions represents a valuable oppo ...

    STTR Phase II 2013 Department of DefenseDefense Advanced Research Projects Agency
  8. Acoustic Intercept Receiver for Naval Special Warfare Undersea Vehicles

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: N09T012

    Information Systems Laboratories (ISL) and Florida Atlantic University (FAU) propose to develop and test a system that uses existing signal processing algorithms coupled with innovative construction technology developed ISL under our E-Field sensor programs and FAU under UUV programs. The Challenge is to develop a small system package with the capability to intercept active threat emissions early ...

    STTR Phase II 2010 Department of DefenseNavy
  9. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Nadir-Looking Synthetic Aperture Radar (NadirSAR)

    SBC: GOLETA STAR, LLC            Topic: A16AT011

    Goleta Star and the University of Florida (UFL) will jointly develop Nadir SAR 3D imaging capability from a Circular SAR orbit that can be transitioned into selected Army applications, primarily existing single-channel radars. Both Goleta and UFL have 3D imaging background and relevant capability that will jointly feed into the desired imaging technology development. In addition Goleta Star has ...

    STTR Phase I 2016 Department of DefenseArmy
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