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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. Large Eddy Simulation (LES) Flow Solver Suitable for Modeling Conjugate Heat Transfer

    SBC: Kord Technologies, Inc.            Topic: N19BT027

    Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surfac ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Artificially Intelligent Object with Virtual Presentation of Engineering and Logistics Data

    SBC: AVNIK DEFENSE SOLUTIONS INC            Topic: N192065

    The Naval Air Technical Data and Engineering Service Center (NATEC) maintains extensive, separate data sets for logistics and engineering in multiple formats which would be more valuable if the data could be integrated and shared to a greater degree.AVNIK Defense Solutions, Inc. proposes, with our subcontract team members Instrumental Sciences, Inc. (ISI) and Engenix, a Concurrent Engineering Logi ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. A Hierarchical and Extendable, Component-Based Simulation Tool for Aircraft Thermal Management Systems

    SBC: CFD RESEARCH CORPORATION            Topic: N19BT025

    The requirements for thermal management on tactical aircraft systems have reached a level at which integrated system design must be considered early in the aircraft design process. An integrated propulsion, power and thermal modeling and simulation design approach is necessary for reduced size, weight and power requirements. At the same time, there is an urgent need for capabilities that enable an ...

    STTR Phase I 2019 Department of DefenseNavy
  4. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH GROUP INC            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Multi-fidelity surrogate modeling and data fusion for accurate structural buffet load prediction

    SBC: CFD RESEARCH CORPORATION            Topic: N192058

    The overall goal of the project is to develop a mathematically rigorous multi-fidelity surrogate modeling (MFSM) and data analytics tool to fuse data from sources of varying facility (computations and flight tests) for accurate aircraft structural buffet load prediction. The salient aspects of the proposed solution are: (1) an adaptive framework to systematically tackle fusion and consolidation of ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Artificial Intelligence Real-Time Track Modeling and Simulation for Combat Systems

    SBC: ARCHARITHMS INC            Topic: N191032

    The growing proliferation of unmanned air and surface vehicles poses a potential tactical threat to current naval platforms. This threat continues to grow as the technology needed to develop such vehicles in vast numbers becomes easier for both state and non-state actors. The subsequent increase in the number of potential air and surface targets tracked and engaged in a tactical environment, where ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Data Analytics Tools for the Automated Logistics Environment (ALE)

    SBC: GTD Unlimited LLC            Topic: N191007

    In this research effort, GTD Unlimited will develop a toolset that leverages machine learning and analytics to analyze E-2D’s system maintenance with Automated Logistics Environment (ALE) data collected across the fleet to design and develop improved maintenance procedures that will improve readiness. GTD will determine key performance metrics of the platform that are of value to the maintainer, ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Target Identification Interrogation Data Stream Analytics System

    SBC: ARCHARITHMS INC            Topic: N191020

    Data stream analytics have been used in industry for a number of years to solve various logistical and other problems using on-the-fly monitoring, data-mining, and analysis of ongoing information streams. Recent advances in both Artificial Intelligence (AI) and high-speed parallel computing architectures may now provide the ability to execute such data-stream analysis algorithms in real time. U.S. ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Situational Awareness for Mission Critical Ship Systems

    SBC: IERUS TECHNOLOGIES INC            Topic: N18AT009

    With the advent of the Navy’s newest classes of all-electric vessels, the interdependence and functional correlation of the power plant with other mission-critical ship systems such as integrated cooling, weapons, navigation, air surveillance, and IT control network systems, maintaining optimal oversight and control of power distribution aboard ship becomes increasingly challenging. As the opera ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Autonomous Pallet Loader

    SBC: Integrated Solutions for Systems, Inc.            Topic: N191002

    There is currently no autonomous pallet loading/unloading solution for full or half size 463L Military pallets. In austere environments such as those encountered at forward operating bases (FOB) and further forward, this is a significant problem. With no means of autonomously positioning or retrieving supplies at the aircraft, re-tasking fire teams and other personnel critical to the fight and gen ...

    SBIR Phase I 2019 Department of DefenseNavy
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