Patents by Inventor Kyle Gerbe

Kyle Gerbe 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).

  • Systems and methods of determining node metrics for assigning node profiles to categories based on field-value pairs and electronic activities
    Patent number: 11343337
    Abstract: The present disclosure relates to a method for determining node metrics based on node field-value pairs and electronic activities. The method includes identifying a first node profile. The method includes identifying a plurality of electronic activities associated with the first node profile. The method includes identifying a first group of node profiles of a first category with a predetermined event. The method includes selecting a second group of node profiles. The method includes parsing the plurality of electronic activities to identify creation timestamps and participant characteristics of the electronic activities. The method includes generating an input array based on the timestamps and the participant characteristics. The method includes generating, for each of the second group of node profiles, a respective array. The method includes determining a probability score indicating a likelihood that the node profile belongs to the first category.
    Type: Grant
    Filed: May 22, 2019
    Date of Patent: May 24, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Kyle Gerbe, Eric Jeske, Nicholas Dingwall
  • SYSTEMS AND METHOD OF DETERMINING NODE METRICS BASED ON FIELD-VALUE PAIRS AND ELECTRONIC ACTIVITIES
    Publication number: 20190361861
    Abstract: The present disclosure relates to a method for determining node metrics based on node field-value pairs and electronic activities. The method includes identifying a first node profile. The method includes identifying a plurality of electronic activities associated with the first node profile. The method includes identifying a first group of node profiles of a first category with a predetermined event. The method includes selecting a second group of node profiles. The method includes parsing the plurality of electronic activities to identify creation timestamps and participant characteristics of the electronic activities. The method includes generating an input array based on the timestamps and the participant characteristics. The method includes generating, for each of the second group of node profiles, a respective array. The method includes determining a probability score indicating a likelihood that the node profile belongs to the first category.
    Type: Application
    Filed: May 22, 2019
    Publication date: November 28, 2019
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Kyle Gerbe, Eric Jeske, Nicholas Dingwall