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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets

    SBC: ACELLENT TECHNOLOGIES, INC            Topic: N10AT042

    Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

    STTR Phase I 2010 Department of DefenseNavy
  2. 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
  3. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: AECHELON TECHNOLOGY            Topic: N09BT038

    Military operations in urban areas have increasingly become a key capability for our armed forces. The increased risk of use of the unique nature of large urban environments by hostile forces to their tactical advantage, and related civilian casualties, requires updated procedures, comprehensive training, and constantly evolving capabilities. Current training technologies fail to address the signi ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Advanced Real Time Battery Monitoring and Management System

    SBC: Spectral Labs Incorporated            Topic: N10AT013

    Although many off-the-shelf and semi-custom Battery Management Systems (BMS) are available, the Navy recognizes with this STTR Topic, and recent history illustrates, that a safety system with the required reliability and performance for mission critical applications has not been demonstrated. This proposal will detail the Spectral Labs Incorporated (SLI) and University of California, Davis (UCD) t ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Development of Navy Wave Rich Collaboration for Command and Control

    SBC: Solute            Topic: N10AT045

    The SOLUTE team’s Phase I technical approach consists primarily of a feasibility study assessing the viability of a Navy implementation of the algorithms, standards, and protocols that comprise Google's Wave technology. Of specific concern is Wave’s ability to handle varying bandwidth and DIL communications channels associated with Navy platforms. While computer science research in the field o ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Naval Special Warfare (NSW) Underwater Secure Text Messaging and Diver Locater

    SBC: DESERT STAR SYSTEMS, LLC            Topic: N10AT034

    Small combat dive teams require a situational awareness capability that combines robust, low probability of detection (LPD) communication with navigation/tracking functions. The project will result in a compact terminal for underwater acoustics based communication, navigation and tracking. The Diver Messaging and Navigation Terminal (DMNT) will be rugged and easy to use, warranting a description ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Metamaterial Antennas Imbedded with Ballistic Armor (PDRT10-006)

    SBC: VANGUARD SPACE TECHNOLOGIES, INC            Topic: N10AT021

    The proposed STTR will demonstrate how magnetic meta materials based antennas are ideal for integration into composite structures where the graphite composite backplanes can be integrated with dielectric ballistic protection materials that surround, yet do not interfere with the antenna. In ongoing research we have shown such antennas can approach the theoretical Gain-Bandwidth Product (GBWP) limi ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Graded-Composition Refractory Coatings for Protection of Cu-Rails for Electromagnetic Launchers

    SBC: Engineered Coatings, Inc.            Topic: N10AT025

    The Navy is developing an electromagnetic (EM) launcher for long-range naval surface-fire-support. Severe operating conditions of the EM system place stringent requirements for materials, including high current and magnetic fields, high temperatures, contact with liquid metals, high stress/gouging from balloting contacts and high-speed-sliding electrical-contact with an Al armature. Engineered Coa ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
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