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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. Accurate Sensing of Low Speed Vehicle Motion Relative to a Moving Platform

    SBC: SIGNAL SYSTEMS CORPORATION            Topic: N171029

    Signal Systems Corporation (SSC) will develop a Maritime Acoustic Relative VELocity (MARVEL) sensor to measure the Doppler shift of an ultrasonic signal induced by the relative motion between an unmanned aerial vehicle (UAV) and the deck. SSC will demonstrate the feasibility of using an innovative, small, lightweight, low-cost array of directional ultrasound sensors to produce real-time tracking v ...

    SBIR Phase I 2017 Department of DefenseNavy
  2. Advanced Material System for Reduced Wave Slam Energy in Combatant Craft

    SBC: INNOVITAL SYSTEMS INC            Topic: N17AT014

    Occupants aboard Navy combatant patrol and assault craft, as well as other high speed watercraft, are required to operate in extremely demanding conditions, including rough sea states at high speeds. Severe and repetitive shock loads resulting from wave impacts lead to single-event traumatic injuries, accumulated damage to legs and spine, fatigue, and loss of situational awareness. Such debilitati ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Affordable CMAS-Resistant Thermal Barrier Coatings: Materials Genome Tools to Accelerate Calcium-Magnesium Alumino-Silicate (CMAS)-resistant Thermal

    SBC: QUESTEK INNOVATIONS LLC            Topic: N12AT019

    Existing TBC systems in aeroturbine engines, such as yittria partially-stabilized zirconia (YSZ), are highly susceptible to degradation by infiltrating molten deposits formed when calcium-magnesium-aluminosilicate (CMAS) particulates such as dust, sand, or volcanic ash are ingested into the engine. Assessing CMAS resistance of known TBCs for a wide variety of particulates (e.g. susceptibility of s ...

    STTR Phase II 2017 Department of DefenseNavy
  4. Air-Droppable At-Sea In-Water Lifting System

    SBC: ADVANCED TECHNOLOGY AND RESEARCH CORPORATION            Topic: N151061

    An SBIR Phase II program is proposed to continue the development of an innovative system called In-Water Container Lifting System (IWCLS).The IWCLS is to lift ISO shipping containers floating in the open ocean to the decks of Afloat Forward Staging Base and other vessels of opportunity.It fills a gap in enabling technology for lift-on/lift-off heavy container transfer in high sea conditions up to ...

    SBIR Phase II 2017 Department of DefenseNavy
  5. Airdroppable High Speed, Low Signature Craft

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: N04044

    The proposed effort will convert and existing air-dropped GARC hull and its mission elements from gasoline waterjet propulsion (Mercury Optimax) to unmanned diesel outdrive propulsion. This conversion will require: incorporation of a diesel engine and outdrive, hull internal structural changes to enable mounting of the engine and outdrive, exhaust and cooling system changes to accommodate the dies ...

    SBIR Phase II 2017 Department of DefenseNavy
  6. Algorithms for Superresolution of Midwave IR Imagery with Suprapixel Elliptic Dithering

    SBC: UNIVERSITY TECHNICAL SERVICES, INC.            Topic: N17AT016

    The proposal is to develop superresolution algorithms for MWIR cameras that are circularly dithered and fitted with microelectromechanical motion sensors (MEMS) to determine and register platform motion. It is intended for use in a ship borne environment, where the background may be highly dynamic or even featureless, except for a target of interest - thus presenting difficulties for optical flow ...

    STTR Phase I 2017 Department of DefenseNavy
  7. An Integrated Computational Materials Engineering (ICME) Tool for the Streamlined Development of High-Entropy Alloys for Advanced Propulsion Systems

    SBC: QUESTEK INNOVATIONS LLC            Topic: N17BT031

    Ni-superalloys currently are the state-of-the-art for use in aeroturbine blades and other high temperature applications. In order to push engine efficiencies higher, aeroturbines must perform at even hotter temperatures greater than the melting point of Ni (1455oC). At these temperatures, potential material solutions for achieving higher performance are limited. High Entropy Alloys (HEAs) are stab ...

    STTR Phase I 2017 Department of DefenseNavy
  8. Artificial Intelligence (AI)-based C2 Digital Assistant

    SBC: LEVEREGE LLC            Topic: N162074

    The Marine Corps seeks to employ advanced artificial intelligence (AI) technologies for its CAC2S program to reduce information overload, improve situational awareness (SA) and collaboration, and aid in Commander decision-making. Leverege will use its unrivaled subject matter expertise in CAC2S and its deep experience with cutting-edge machine learning techniques to research and test the optimal a ...

    SBIR Phase I 2017 Department of DefenseNavy
  9. A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

    SBC: Intelligent Automation, Inc.            Topic: N17AT022

    Large amounts of data are collected every day by Naval Intelligence Surveillance and Reconnaissance systems. There is a critical need to capture important information before it is lost. It is also desired to preserve the valuable information in a proper way such that it can be retrieved for future analysis efficiently when needed. To address these needs, Intelligent Automation, Inc. (IAI), along w ...

    STTR Phase I 2017 Department of DefenseNavy
  10. A SYSTEM IDENTIFICATION TECHNICAL IS PROPOSED FOR NON-DESTRUCTIVE TEST TO DETECT UNBOUNDS IN LARGE BONDED COMPONENTS.

    SBC: Advanced Technology & Research            Topic: N/A

    A SYSTEM IDENTIFICATION TECHNICAL IS PROPOSED FOR NON-DESTRUCTIVE TEST TO DETECT UNBOUNDS IN LARGE BONDED COMPONENTS. THE TECHNIQUE USES THE SYSTEM'S TIME RESPONSE DATA DUE TO RANDOM INPUT EXCITATION. SYSTEM'S EIGENVALUES AND EIGENVECTORS ARE RETRIEVED FROM THE TIME RESPONSES AND USED FOR THE CONSTRUCTION OF ACCURATE SYSTEM MATHEMATICAL MODELS. SYSTEM'S CHANGE DUE TO CRACKS, VOIDS, UNBONDS BETWEEN ...

    SBIR Phase I 1984 Department of DefenseNavy
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