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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. Improved High-Frequency Bottom Loss Characterization

    SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC.            Topic: N17AT026

    We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...

    STTR Phase I 2017 Department of DefenseNavy
  2. Multi-Sensor Autonomous Hydrothemal Vent Detection System

    SBC: 10dBx LLC            Topic: N17AT028

    Development of a concept of operations is proposed for autonomous hydrothermal vent detection in a single sortie. The concept involves active sonars (forward looking and swath mapping sonars, plus possibly a 1-2 MHz acoustic Doppler current profiler (ADCP) for measuring midwater turbulence) mounted on a commercial AUV equipped with environmental sensors (e.g., CTD, fluorometer, MAPR-ORP). The AUV ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Spatiotemporal Shaping for Parallel Additive Manufacturing

    SBC: POLARONYX INC            Topic: N17AT030

    This Navy STTR Phase I proposal presents an parallel AM tool to eliminate conventional scanning strategy. A 2D MEMS array is used to shape both in time domain and spatial domain to obtain the desired pattern for layer by layer process. Modeling is used to study in-process melting evolution versus powder and beam properties. It provides quantitative characterization of the AM system to guide the de ...

    STTR Phase I 2017 Department of DefenseNavy
  4. Phase-Change Materials for Tunable Infrared Devices

    SBC: Sensormetrix INC            Topic: N17AT020

    The proposed Phase I research seeks to develop innovative tunable IR filters based on phase change plasmonic composite materials. Concepts for a switchable device that is capable of providing dynamic narrowband spectral properties within the 3-12 micron wavelength range will be developed.

    STTR Phase I 2017 Department of DefenseNavy
  5. Electro-Optic Transmissive Scanner

    SBC: ULTIMARA INC            Topic: N17AT001

    The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Multi-Phase Flame Propagation Modeling for Present and Future Combustors and Augmentors

    SBC: METACOMP TECHNOLOGIES INC            Topic: N17AT002

    The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...

    STTR Phase I 2017 Department of DefenseNavy
  7. Graphical Speech Recognition Tool

    SBC: BCL Technologies            Topic: N17AT010

    BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...

    STTR Phase I 2017 Department of DefenseNavy
  8. Software Tools for Implementing Speech Agents in Crew Resource Management Training Systems

    SBC: OPTIMAL SYNTHESIS INC.            Topic: N17AT010

    Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large groups of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customi ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: ATA ENGINEERING, INC.            Topic: N17AT009

    ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

    STTR Phase I 2017 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 Navyproviding 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 technologie ...

    STTR Phase I 2017 Department of DefenseNavy
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