Patents by Inventor Jason Scheller

Jason Scheller 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).

  • Publication number: 20240346091
    Abstract: A computer obtains records of multiple digital events from multiple vendors of digital event records, each digital event record having a digital ID of a user that initiated the respective digital event. A computer obtains at least one list of professional registry numbers of professionals in a profession. A computer classifies at least some portion of the digital event records and at least some internet web pages based on a standard taxonomical index. A computer identifies correlated identification data points among the digital event records and the professional registry records, and based on the taxonomic classification of pages and digital events, to infer a correlation between digital IDs from digital event records and actual physical identities of physical persons, and computing a parameter reflecting a degree of certainty of the inference.
    Type: Application
    Filed: June 8, 2024
    Publication date: October 17, 2024
    Applicant: PulsePoint, Inc.
    Inventors: Jonathan Zile, Sudarshan Mahanubhav, Avikal Satle, Ezra Suveyke, Jason Scheller
  • Patent number: 12008053
    Abstract: A computer obtains records of multiple digital events from multiple vendors of digital event records, each digital event record having a digital ID of a user that initiated the respective digital event. A computer obtains at least one list of professional registry numbers of professionals in a profession. A computer classifies at least some portion of the digital event records and at least some internet web pages based on a standard taxonomical index. A computer identifies correlated identification data points among the digital event records and the professional registry records, and based on the taxonomic classification of pages and digital events, to infer a correlation between digital IDs from digital event records and actual physical identities of physical persons, and computing a parameter reflecting a degree of certainty of the inference.
    Type: Grant
    Filed: August 31, 2021
    Date of Patent: June 11, 2024
    Assignee: PulsePoint, Inc.
    Inventors: Jonathan Zile, Sudarshan Mahanubhav, Avikal Satle, Ezra Suveyke, Jason Scheller