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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.

Displaying 196121 - 196130 of 207699 results
  1. Multisensor Insitu Data with Machine Learning

    SBC: QUARTUS ENGINEERING INCORPORATED            Topic: N222117

    The Multisensor Insitu Data with Machine Learning (MIDML) program will develop a convolutional neural network (CNN) to leverage data generated from multiple AM inprocess sensors. This can provide more accurate and reliable assessments and predictions of final part quality during layer-by-layer fabrication, in real time. The CNN will be developed for maximum prediction accuracy from multiple senso ...

    SBIR Phase I 2023 Department of DefenseNavy
  2. Physics-enhanced AI/ML tool for additive manufacturing defect detection and prediction

    SBC: QUESTEK INNOVATIONS LLC            Topic: N222117

    Through this proposed SBIR effort, QuesTek Innovations LLC will develop a physics-enhanced machine learning (ML) software to reduce exhaustive typical on-destructive testing or enable feed forward control methodologies for fabrication of high-quality additive manufacturing (AM) component. Process induced defects like keyholing and lack of fusion porosity are shown to be strongly correlated with AM ...

    SBIR Phase I 2023 Department of DefenseNavy
  3. PrintRite3D? AI/ML for In-Situ Additive Manufacturing Defect Detection

    SBC: KITWARE INC            Topic: N222117

    Additive manufacturing (AM) increases the speed and flexibility of production and enables traditional part concatenation for advanced manufacturing capabilities. The ability for U.S. manufacturers to 3D-print advanced components in-house reduces reliance on traditional subtractive supply chains and bolsters national security readiness. While AM affords unique flexibility in design for manufacturab ...

    SBIR Phase I 2023 Department of DefenseNavy
  4. TALON: Multi-INT Metadata Extraction for Threat Detection

    SBC: VISION SYSTEMS INC            Topic: N222118

    Despite a large and growing set of available data sources across many domains, identifying and tracking developing threats in operational domains remains a critical unsolved problem. Extraction of relevant threat information and correlation across multiple modalities is required to take full advantage of the data available. VSI proposes TALON, a system for leveraging natural language descriptions ...

    SBIR Phase I 2023 Department of DefenseNavy
  5. Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive Measures

    SBC: SONALYSTS INC            Topic: N222118

    Sonalysts, Inc. (Sonalysts) proposes the development and feasibility evaluation of a Threat Reduction by Integration of Metadata (TRIM) toolkit to integrate metadata from operational sources, independent of naval operational domain. Sonalysts will leverage the broad expertise of its employees (of which 40% are military veterans) and its software engineering and modeling resources to develop an ont ...

    SBIR Phase I 2023 Department of DefenseNavy
  6. Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive Measures

    SBC: IERUS TECHNOLOGIES INC            Topic: N222118

    In response to the Navy’s need for an AI-enabled multi-attribute generation system, IERUS Technologies proposes to determine the technical feasibility, design and prototype for a system that can be fully integrated with proper associative databases to monitor and track developing activities/signals in all operational domains. This prototype architecture will extract meta-data attributes from exi ...

    SBIR Phase I 2023 Department of DefenseNavy
  7. Librarian- AI Driven Multi-Int Unifying Platform Software Tool

    SBC: MOSAIC ATM, INC.            Topic: N222118

    The number of sources and amount of data that Naval intelligence analysts are required to manually sift through in order to ensure maritime forces have both actionable intel and provide decision advantage for their commanders is daunting. Today, existing tools are time-consuming, workforce intensive, and cumbersome to process and distribute in a timely fashion. Fortunately, this is a problem that ...

    SBIR Phase I 2023 Department of DefenseNavy
  8. Wide-angle Augmented Reality Infantry Operational Robust Heads-Up Display

    SBC: INTELLISENSE SYSTEMS INC            Topic: N222119

    To address the Navy’s need for next generation heads-up displays (HUDs) to provide training aids, operational tools, and situational awareness (SA) visualizations, Intellisense Systems, Inc. proposes to develop a new Wide-angle Augmented-Reality Infantry Operational Robust Heads-Up-Display (WARIOR-HUD) based on an innovative integration of a wide field-of-view (FOV) conformal layered optical sph ...

    SBIR Phase I 2023 Department of DefenseNavy
  9. Next Generation Infantry Heads-up Displays for Close-Air Support

    SBC: CREATIVE MICROSYSTEMS CORPORATION            Topic: N222119

    Heads Up Displays (HUD) are still lacking the operation capabilities to meet the needs of training and tactical operation. The available displays lack daytime brightness, are limited by a small field of view, not ruggedized, and do not meet the SWaP needs of an untethered head or helmet worn display for the Army. Creative Microsystems Corp (CMC) will identify a development path and incorporate the ...

    SBIR Phase I 2023 Department of DefenseNavy
  10. Next Generation Infantry Heads-up Displays for Close-Air Support

    SBC: MAXENTRIC TECHNOLOGIES LLC            Topic: N222119

    Maxentric is proposing a heads-up display (HUD) system that takes advantage of augmented reality (AR) technologies to overlay information onto the battlefield and enhance situational awareness (SA). MaXentric’s solution will refine hardware and software requirements for Marine Corps use cases and deliver functional HUD prototypes for next-generation AR HUD systems that can serve both as training ...

    SBIR Phase I 2023 Department of DefenseNavy
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