Patents by Inventor Kyle Siptroth

Kyle Siptroth has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Device and content agnostic, interactive, collaborative, synchronized mixed reality system and method
    Patent number: 11297164
    Abstract: A method and system provides a device and content agnostic, interactive, collaborative and synchronized virtual world comprising of three dimensional and two dimensional virtual objects defined by data, which can be viewed, customized, built on and interacted with simultaneously by geographically disparate users with different device types, including VR, AR, Tablet, and Computer devices, whereby the content may be ingested from or controlled by data and models from external sources or the system's internal storage. A machine learning component is implemented as a set of software containers. The containerized solution can be deployed as an enterprise service, in a cloud architecture, or as a part of a monolithic deployment that runs natively in any one of the components as part of the larger architecture.
    Type: Grant
    Filed: May 7, 2019
    Date of Patent: April 5, 2022
    Assignee: Eolian VR, Inc.
    Inventors: Michael McCormack, Rodney Jackson, Kyle Siptroth, John Cannizzaro, Michael Simmons, Garrett Krick
  • DEVICE AND CONTENT AGNOSTIC, INTERACTIVE, COLLABORATIVE, SYNCHRONIZED MIXED REALITY SYSTEM AND METHOD
    Publication number: 20200128106
    Abstract: A method and system provides a device and content agnostic, interactive, collaborative and synchronized virtual world comprising of three dimensional and two dimensional virtual objects defined by data, which can be viewed, customized, built on and interacted with simultaneously by geographically disparate users with different device types, including VR, AR, Tablet, and Computer devices, whereby the content may be ingested from or controlled by data and models from external sources or the system's internal storage. A machine learning component is implemented as a set of software containers. The containerized solution can be deployed as an enterprise service, in a cloud architecture, or as a part of a monolithic deployment that runs natively in any one of the components as part of the larger architecture.
    Type: Application
    Filed: May 7, 2019
    Publication date: April 23, 2020
    Applicant: EolianVR, Inc.
    Inventors: Michael McCormack, Rodney Jackson, Kyle Siptroth, John Cannizzaro, Michael Simmons