Patents by Inventor Ostap Korkuna

Ostap Korkuna 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: 20230053049
    Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.
    Type: Application
    Filed: October 8, 2022
    Publication date: February 16, 2023
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Patent number: 11470171
    Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: October 11, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Publication number: 20220138191
    Abstract: The present disclosure relates to linking record objects between systems of record based on a comparison of object field-value pairs to a ground truth. A domain name may be identified from an electronic activity. It may be determined that the electronic activity does not match with any first record objects. A second record object including the domain name as a value may be identified. Object field-value pairs of the second record object may be identified. It may be determined that a third record object matches with the second record object. The electronic activity may be matched to the third second record object or a fourth record object. An association between the electronic activity and the third record object or the fourth record object may be stored.
    Type: Application
    Filed: November 5, 2021
    Publication date: May 5, 2022
    Applicant: People.ai, Inc.
    Inventors: Stefan Hermanek, Andrii Cherednychenko, Andrey Kvachov, Armine Seropyan, Ostap Korkuna, Volodymyr Nykytiuk, Eric Jeske
  • Patent number: 10678796
    Abstract: Systems and methods for matching electronic activities to record objects using feedback based match policies can include accessing a plurality of electronic activities and record objects. The systems and method can include identifying candidate record objects by applying a matching model. The systems and methods can include selecting a record object based on a match score. The systems and methods can include configuring the matching model in a first configuration responsive to a first feedback type or configuring the matching model in a second configuration responsive to a second feedback type.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: June 9, 2020
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Volodymyr Nykytiuk, Stefan Hermanek, Ostap Korkuna
  • Publication number: 20200117667
    Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.
    Type: Application
    Filed: December 16, 2019
    Publication date: April 16, 2020
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Publication number: 20200089682
    Abstract: Systems and methods for matching electronic activities to record objects using feedback based match policies can include accessing a plurality of electronic activities and record objects. The systems and method can include identifying candidate record objects by applying a matching model. The systems and methods can include selecting a record object based on a match score. The systems and methods can include configuring the matching model in a first configuration responsive to a first feedback type or configuring the matching model in a second configuration responsive to a second feedback type.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Volodymyr Nykytiuk, Stefan Hermanek, Ostap Korkuna
  • Patent number: 10509786
    Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: December 17, 2019
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Patent number: 10496636
    Abstract: The present disclosure relates to assigning labels based on matching electronic activities to record objects. Electronic activities of one or more data source providers may be accessed. Each electronic activity may be matched with a record object of a system of record of the one or more data source providers. Record objects matching electronic activities may be identified. Values from object field-value pairs of the matching record objects may be extracted. Labels may be selected based on the extracted values. Associations between electronic activities and the selected labels may be stored.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: December 3, 2019
    Assignee: PEOPLE.AI, INC.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Publication number: 20190361878
    Abstract: The present disclosure relates to assigning labels based on matching electronic activities to record objects. Electronic activities of one or more data source providers may be accessed. Each electronic activity may be matched with a record object of a system of record of the one or more data source providers. Record objects matching electronic activities may be identified. Values from object field-value pairs of the matching record objects may be extracted. Labels may be selected based on the extracted values. Associations between electronic activities and the selected labels may be stored.
    Type: Application
    Filed: May 21, 2019
    Publication date: November 28, 2019
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Publication number: 20190361900
    Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.
    Type: Application
    Filed: April 30, 2019
    Publication date: November 28, 2019
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Stefan Hermanek, Dylan Halladay, Ostap Korkuna, Jose Alberto Muniz Navarro
  • Publication number: 20190361924
    Abstract: Systems and methods for matching electronic activities to record objects using feedback based match policies can include accessing a plurality of electronic activities and record objects. The systems and method can include identifying candidate record objects by applying a matching model. The systems and methods can include selecting a record object based on a match score. The systems and methods can include configuring the matching model in a first configuration responsive to a first feedback type or configuring the matching model in a second configuration responsive to a second feedback type.
    Type: Application
    Filed: May 21, 2019
    Publication date: November 28, 2019
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Volodymyr Nykytiuk, Stefan Hermanek, Ostap Korkuna
  • Patent number: 10489430
    Abstract: Systems and methods for matching electronic activities to record objects using feedback based match policies can include accessing a plurality of electronic activities and record objects. The systems and method can include identifying candidate record objects by applying a matching model. The systems and methods can include selecting a record object based on a match score. The systems and methods can include configuring the matching model in a first configuration responsive to a first feedback type or configuring the matching model in a second configuration responsive to a second feedback type.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: November 26, 2019
    Assignee: PEOPLE.AI, INC.
    Inventors: Oleg Rogynskyy, Volodymyr Nykytiuk, Stefan Hermanek, Ostap Korkuna