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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. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  2. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Full Featured Low-Cost HMS for Combatant Craft

    SBC: QUALTECH SYSTEMS, INC.            Topic: N18AT015

    Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Optimization of Fatigue Test Signal Compression Using the Wavelet Transform

    SBC: ATA ENGINEERING, INC.            Topic: N18BT029

    Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
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