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Award Data

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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. Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines

    SBC: HAL Technology, LLC            Topic: N18AT023

    Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Our proposed sensor will use an innovative hybrid and complimentary discrimination approach to incorporate material identification along with capability of size, size distributions, and concentration while maintaining the same form factor of the curre ...

    STTR Phase II 2021 Department of DefenseNavy
  2. Analysis and Modeling of Erosion in Gas-Turbine Grade Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N19BT033

    A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent degradation under erosion and post erosion. Our team will develop and demonstrate a physics-based model for erosion/post erosion of CMC’s at room and elevated temperatures (RT/ET). The ICME (Integrated Computational Material Engineering) Physics based Multi Scale Mo ...

    STTR Phase II 2021 Department of DefenseNavy
  3. Computer Vision Image Interpretation for 3D Model Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: DTRA18B001

    Toyon Research Corporation (Toyon) and the University of California, Santa Barbara (UCSB) propose research, development, and demonstration of algorithms and an efficient software prototype for 3D model reconstruction using single images collected via remote sensing. In particular, the effort is focused on processing of high-resolution commercial satellite images for 3D reconstruction of buildings. ...

    STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
  4. Software developments for large-eddy simulations on GPU-accelerated systems

    SBC: CASCADE TECHNOLOGIES INC            Topic: N14AT005

    The objectives of the proposed work are twofold. The first goal is to develop and validate GPU-based static and moving versions of Cascade's large eddy simulation (LES) software CharLES that would fully leverage existing (and future) GPU-accelerated systems accessible by NAVAIR and other DoD agencies. These software developments will be performed by Cascade. For the current project, the targeted c ...

    STTR Phase II 2021 Department of DefenseNavy
  5. Full Featured Low-Cost HMS for Combatant Craft

    SBC: QUALTECH SYSTEMS, INC.            Topic: N18AT015

    Qualtech Systems, Inc. (QSI), in collaboration with Vanderbilt University (VU) proposes to develop a state-of-the art Health Management System (HMS) system consisting of a small form factor GPS-enabled onboard computer, a small display for crew, and sensors for boat and engine vibration, OBD data, engine oil quality monitoring, and battery health monitoring. The HMS system will provide Wi-Fi and w ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Temperature Sensing Submarine ISR Buoy / Surface Ship Sensor Tow Cable

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N18AT017

    The U.S. Navy currently utilizes a number of towed systems from surface ship and submarines for sensing and communication applications. In a number of these cases, a tow cable extends either down from a surface ship or up from a submarine through the upper part of the water column where seawater temperature can be both highly variable vs. depth and dynamic in time and geographic location. Having a ...

    STTR Phase II 2019 Department of DefenseNavy
  8. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...

    STTR Phase II 2019 Department of DefenseNavy
  9. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17BT035

    The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navyâ ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N17AT004

    We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...

    STTR Phase II 2019 Department of DefenseNavy
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