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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. ENHANCE – Enabling Hybrid Anodes with Nano-Carbon Electrodes

    SBC: CELLEC TECHNOLOGIES, INC            Topic: AF19AT014

    The objective of this research program is to develop an ultra-lightweight carbon nanotube-lithium metal (CNT-Li) hybrid anode to enable high energy density lithium ion cells. These CNT-Li anodes will be paired with carbon nanotube enhanced high areal loading (mAh/cm2) cathodes to achieve cell-level energy densities that exceed 400 Wh/kg at the cell-level and have the potential to exceed 500 Wh/kg. ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. 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
  3. 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
  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. 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
  6. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Design of Flexible Materials for Aerodynamic Structures

    SBC: ATREVIDA SCIENCE INC            Topic: AF19BT001

    The PI has worked on a design concept for a wind turbine blade with adaptive twist transformation. The design improves wind capture and reduces loading on the system drivetrain turbine by adapting the twist distribution in relation to wind speed. Structural adaptability is enabled by actuating a series of compliant segments that are mounted on a relatively rigid spar. The segments are assumed to h ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. ARCHIMEDES

    SBC: SOAR TECHNOLOGY, LLC            Topic: N17AT004

    Evidence-based guidelines derived from the learning sciences literature can be applied to training-requirements decisions. However, accessing the state-of-the-art in the learning sciences and applying its lessons to specific training design and analysis questions can be difficult, especially for those not already familiar with the learning sciences. ARCHIMEDES, the software tool proposed in this e ...

    STTR Phase II 2019 Department of DefenseNavy
  9. Soliloquy Ph II

    SBC: SOAR TECHNOLOGY, LLC            Topic: N17AT010

    Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...

    STTR Phase II 2019 Department of DefenseNavy
  10. CogTracer

    SBC: SOAR TECHNOLOGY, LLC            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
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