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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. Lateral Canthotomy and Cantholysis Training System

    SBC: SONALYSTS INC            Topic: DHP15001

    Eye injuries are common in combat. Many of these injuries can result in a buildup of pressure behind the eye, causing a damaging reduction in blood flow to the retina and optic nerve. A Lateral Canthotomy and Cantholysis (LCC) can save the eyesight of t

    SBIR Phase II 2020 Department of DefenseDefense Health Agency
  2. 5 – An Approach to Rapidly Curate Large Image Datasets to Train Machine Learning Ship Classification Models

    SBC: Rite-solutions, Inc.            Topic: N193A02

    A critical bottleneck in machine learning efforts continues to be either the lack of sufficiently sized, fully curated data-sets, or availability of the time and resources required to develop the required data-sets/models via manual identification and tagging. Because large curated data-sets are essential to ship identification and classification using machine learning, Rite-Solutions proposes an ...

    SBIR Phase I 2020 Department of DefenseNavy
  3. 8- NAVY TECHNOLOGY ACCELERATION- Advanced Technologies (including AR/VR) for Manpower, Personnel, Training, and Education

    SBC: SONALYSTS INC            Topic: N193A03

    Sonalysts’ proposed solution for a game-based training system for individual and collective skills training (Focus Area 8) is to use a combination of 3D simulations, virtual environments, and gamification of traditional learning to help solve or alleviate the limitations of current Navy formal training, such as lack of equipment, portability/mobility limitations, and lack of methods to collect p ...

    SBIR Phase I 2020 Department of DefenseNavy
  4. Field-Usable Designer Drug Analyzer

    SBC: REAL-TIME ANALYZERS INC            Topic: CBD181006

    While this solicitation described the need for better sampling methods and rugged mass spectrometers, the topic author funded our alternative approach, which employs existing DoD Raman spectrometers. The Phase III project goal is to develop a Field-Usable Designer Drug Analyzer capable of identifying and quantifying drugs in saliva and blood at 10 ng/mL in 10 minutes. Feasibility was demonstrated ...

    SBIR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  5. Model-based Adaptive and Intelligent Naval Training for Operational Readiness (MAINTOR)

    SBC: QUALTECH SYSTEMS, INC.            Topic: N192124

    Qualtech Systems, Inc. (QSI), Aptima, Inc., and D2KTechnologies, LLC (D2KTech) have partnered to develop MAINTOR, a web-based, digital-twin driven maintenance operations training and performance assessment system. The proposed Phase I effort aims to demonstrate the feasibility of the proposed technology through a scoped demonstration for a suitable CVN-78 system. The key focus of the demo will be ...

    SBIR Phase I 2020 Department of DefenseNavy
  6. Accelerating Knowledge Acquisition for Close Combat Warriors

    SBC: SONALYSTS INC            Topic: N192132

    United States Marines are among the most lethal fighting force on the planet. To maintain and enhance this lethality, the members of the United States Marine Corps must continuously master new knowledge and skills. Adaptive training technology has demonstrated an ability to significantly enhance learning effectiveness. However, these earlier approaches have often been shown to be expensive to deve ...

    SBIR Phase I 2020 Department of DefenseNavy
  7. AR-driven Model-based Maintenance-training And Decision-support Aid (ARM-MADA)

    SBC: QUALTECH SYSTEMS, INC.            Topic: N192134

    Qualtech Systems, Inc. (QSI) and AVNIK Defense Solutions, Inc. (AVNIK) propose a model-based decision support solution for Naval Maintenance Training and Operations, leveraging commercial AR hardware such as Microsoft HoloLens. Our ARM-MADA (AR-driven Model-based Maintenance-training and Decision-support Aid) solution draws on QSI’s decades of experience in integrated fault management and suppor ...

    SBIR Phase I 2020 Department of DefenseNavy
  8. PLAID: PATTERN LAYOUT VIA AUGMENTED REALITY BASED INTERACTIVE DIALOG

    SBC: Materials Technologies Corporation            Topic: N201008

    The wiring infrastructure inside an in-service aircraft (and ship and sub alike) – is a confluence of three realities: (i) As-designed layout, (ii) As-built variant, and (iii) As-it is after inspection, maintenance, repair, and overhaul (IMRO). These realities lead to two actions: (a) Start of Information Forward Flow Deviation (IFFD):  During aircraft assembly, the harness installers take a †...

    SBIR Phase I 2020 Department of DefenseNavy
  9. Compact, Lightweight, Power-Dense, Integrated Fuel Cell System

    SBC: PRECISION COMBUSTION, INC.            Topic: N181013

    Precision Combustion, Inc. (PCI) has developed a breakthrough technology enabling a new logistics-fueled, high efficiency all-electric power and propulsion (PnP) system with potential to improve mission range and logistics for Navy’s UAS platforms and others. Based upon a high energy density fuel cell power system that can operate on logistics fuels, the technology offers multiple advances for U ...

    SBIR Phase II 2020 Department of DefenseNavy
  10. High-Efficiency Filter System for Removal of Copper Contamination from Jet Fuels

    SBC: PRECISION COMBUSTION, INC.            Topic: N181071

    Copper contamination in JP-5 fuel derives from the use of Cu-Ni pipes for fuel storage and delivery. The presence of dissolved copper in hydrocarbon fuels impacts jet engine performance due to its catalytic effect on fuel decomposition, leading to coking or impaired performance capability. Currently no solutions are available to directly mitigate the effect of copper and replacement of the piping ...

    SBIR Phase II 2020 Department of DefenseNavy
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