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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. Unified Logging Architecture for Performance and Cybersecurity Monitoring

    SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC            Topic: N19AT012

    In order to achieve real-time monitoring, analysis, and alerting for complex systems, a unified logging architecture must exist that can support the collection and analysis of big data. Our technical objective is to develop a unified logging architecture that supports collection, aggregation, storage, and analysis of system performance and cybersecurity logs, events, and alerts produced by Naval C ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Systematic Fatigue Test Spectrum Editing Using Wavelet Transformations

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N18BT029

    TDA focuses on developing a state of the art time-frequency-based fatigue spectrum editing (TF-based FSE) framework to reduce the time of fatigue computational analysis and tests. The proposed framework will address (a) through understanding of fatigue loading histories including stationary, nonstationary, linear, and non-linear spectrums, (b) developing a multi-approach TF framework for both unia ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Situational Awareness for Mission Critical Ship Systems

    SBC: IERUS TECHNOLOGIES INC            Topic: N18AT009

    The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Situational Awareness for Mission Critical Ship Systems

    SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc.            Topic: N18AT009

    Battle situations can create loss of essential ship functions and capacities such as communications, power, cooling, weapons, etc. System state restoration today is limited by state constraints imposed by the extremis conditions, resource availability, access to critical system information, and by operator proficiency and experience. The explosion of data from various interdependent sensors, each ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Situational Awareness as a Man-Machine Map Reduce Job

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N13AT024

    This effort is focused on the development of a system called Situational Awareness via Mixed-initiative Universal Recognition, Analysis, and Inference (SAMURAI). SAMURAI will provide a single cloud-enabled end-to-end workflow covering the full range of data analysis from data ingest to situational assessment and decision support. As part of this workflow SAMURAI will provide the ability for automa ...

    STTR Phase I 2013 Department of DefenseNavy
  6. Seamless Wireless Charging of Micro and Small Unmanned Aerial System Through Local Power Transmission Infrastructure

    SBC: EH GROUP INC            Topic: N19AT019

    Wireless charging of unmanned aerial system (UAS) platforms from the environment has the potential to greatly increase flight and mission times. A promising option is to use electromagnetic fields from the power transmission infrastructure as an energy source. EH Group and the University of Alabama propose a design for UAS wireless charging in the near-field environment of the commercial power tra ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N19BT030

    The Navy is actively developing a self-sealing, water-activated fuel bladder to mitigate fuel leaks upon mechanical shock (e.g. penetration by a .50 caliber bullet). To circumvent the requirement of an external water source to activate the self-sealing, this system will require water-filled microcapsules that can be incorporated directly into the polymeric matrix of the fuel bladder. Upon mechanic ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Repurposing Computational Analyses of Tactics for Training Assessments

    SBC: Prevailance, Inc.            Topic: N18AT003

    Data generated by external sources needs to be consolidated and processed to derive new training scenarios and to recommend new training objectives and measures of performance. The main technical challenges this solution will address are: data from diverse sources must be pre-processed (i.e., validated, cleaned, synchronized) and loaded into a data warehouse; the central data warehouse must have a ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Refractory Metal Coating for Electromagnetic Launcher Rails

    SBC: TDA RESEARCH, INC.            Topic: N10AT025

    Electromagnetic launchers or rail guns are a key component of the Navy’s all-electric ship of the future, but they lack the durability required for repeated firings. TDA Research and the University of Nevada, Reno (UNR) are developing a tough, durable and conductive refractory metal coating that will protect the copper alloy conductors (rails) from the extreme heat and wear conditions inside the ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Reduced Order Modeling (ROM) for UUV/USV Environmental Awareness-- 19-013

    SBC: METRON INCORPORATED            Topic: N19AT022

    In Phase I, Metron and the University of Miami (UM) propose to develop a theoretic reduction of dynamics framework applicable to the prediction of oceanographic fields in geophysical fluid dynamic models for use onboard unmanned platforms. Our approach leverages, extends and combines modern advances in the renormalization group and Bayesian probability combined with fluid dynamics modeling and for ...

    STTR Phase I 2019 Department of DefenseNavy
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