Patents by Inventor Yurii Brunets

Yurii Brunets 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).

  • Patent number: 11930086
    Abstract: The present disclosure relates to maintaining an electronic activity derived member node network. Exemplary implementations may: generate a plurality of node profiles; generate a node graph generated from the plurality of node profiles; identify a second electronic activity identifying a pair of electronic accounts; identify using the node graph, a pair of participant node profiles corresponding to the pair of electronic accounts identified by the second electronic activity; identify, using the node graph, an edge between a pair of nodes corresponding to the pair of participant node profiles; determine a relevancy score for the second electronic activity corresponding to the pair of the participant node profiles based on context of the second electronic activity; and update the node graph by modifying the connection corresponding to the edge between the pair of participant node profiles based on the relevancy score determined for the second electronic activity.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: March 12, 2024
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Devin Rice
  • Patent number: 11909834
    Abstract: The present disclosure relates to generating a master group node graph from a plurality of systems of record. Record objects of a system of record corresponding to a data source provider may be accessed. Each record object can have a record object type and identify a group entity. Each record object can be linked to one or more second record objects of a second record object type and identifying a respective member entity. A record object corresponding to a group entity can be identified. A connection profile between the record objects of the group entity and another group entity can be generated. An association between the group node profiles and the connection profile can be stored.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: February 20, 2024
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Devin Rice, Vardhman Jain
  • Patent number: 11895208
    Abstract: The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.
    Type: Grant
    Filed: October 8, 2022
    Date of Patent: February 6, 2024
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Devin Rice
  • Patent number: 11888949
    Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: January 30, 2024
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Stefan Hermanek, Dylan Halladay
  • Publication number: 20230208933
    Abstract: The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.
    Type: Application
    Filed: November 21, 2022
    Publication date: June 29, 2023
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Rajit Kurien Joseph, Jose Alberto Muniz Navarro, Yurii Brunets
  • Publication number: 20230083875
    Abstract: The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.
    Type: Application
    Filed: November 14, 2022
    Publication date: March 16, 2023
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Eric Jeske, Nicholas Dingwall
  • Publication number: 20230031801
    Abstract: The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.
    Type: Application
    Filed: October 8, 2022
    Publication date: February 2, 2023
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Devin Rice
  • Publication number: 20220394105
    Abstract: The present disclosure relates to maintaining extracted data in a group node profile from electronic activities. A group node profile associated with a group entity is maintained. A first data point including an electronic activity or a record object is accessed. The first data point is parsed using a value detection policy to obtain a first value. The group node profile is updated based on the first value. An association score between the group node profile and the first value is generated. A second data point is accessed. The second data point is parsed. The association score between the group node profile and the first value is updated.
    Type: Application
    Filed: August 15, 2022
    Publication date: December 8, 2022
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Yurii Brunets, Jose Alberto Muniz Navarro
  • Patent number: 11509736
    Abstract: The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: November 22, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Rajit Kurien Joseph, Jose Alberto Muniz Navarro, Yurii Brunets
  • Patent number: 11503131
    Abstract: The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: November 15, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Eric Jeske, Nicholas Dingwall
  • Publication number: 20220327106
    Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.
    Type: Application
    Filed: February 28, 2022
    Publication date: October 13, 2022
    Applicant: People.ai, Inc.
    Inventors: John Wulf, Sathya Hariesh Prakash, Yurii Brunets, Oleg Rogynskyy, Rajit Kurien Joseph, Yury Markovsky
  • Patent number: 11470170
    Abstract: The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: October 11, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Devin Rice
  • Patent number: 11418626
    Abstract: The present disclosure relates to maintaining extracted data in a group node profile from electronic activities. A group node profile associated with a group entity is maintained. A first data point including an electronic activity or a record object is accessed. The first data point is parsed using a value detection policy to obtain a first value. The group node profile is updated based on the first value. An association score between the group node profile and the first value is generated. A second data point is accessed. The second data point is parsed. The association score between the group node profile and the first value is updated.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: August 16, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Yurii Brunets, Jose Alberto Muniz Navarro
  • Publication number: 20220217215
    Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
    Type: Application
    Filed: March 21, 2022
    Publication date: July 7, 2022
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Dylan Halladay, Stefan Hermanek, Yurii Brunets
  • Patent number: 11283887
    Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: March 22, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Dylan Halladay, Stefan Hermanek, Yurii Brunets
  • Patent number: 11265390
    Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: March 1, 2022
    Assignee: People.ai, Inc.
    Inventors: John Wulf, Sathya Hariesh Prakash, Yurii Brunets, Oleg Rogynskyy, Rajit Kurien Joseph, Yury Markovsky
  • Publication number: 20210287156
    Abstract: The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.
    Type: Application
    Filed: November 23, 2020
    Publication date: September 16, 2021
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Eric Jeske, Nicholas Dingwall
  • Publication number: 20210281653
    Abstract: The present disclosure relates to systems and methods for updating email addresses based on email generation patterns. The method includes accessing a plurality of electronic activities used to update a plurality of member node profiles. The method includes determining that the plurality of member node profiles is linked to a group node profile of a group entity. The methods includes identifying, for each of the plurality of member node profiles, a first field-value pair of the member node profile corresponding to an email address. The method includes determining, for each member node profile, a correlation between the email address, a second field-value pair corresponding to a first name and a third field-value pair corresponding to a last name. The method includes determining, based on the determined correlation, an electronic account identifier pattern. The method includes storing an association between the group node and the electronic account identifier pattern.
    Type: Application
    Filed: May 25, 2021
    Publication date: September 9, 2021
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Yurii Brunets, Rajit Kurien Joseph
  • Publication number: 20210174290
    Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
    Type: Application
    Filed: November 23, 2020
    Publication date: June 10, 2021
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yurii Brunets, Eric Jeske, Nicholas Dingwall
  • Patent number: 11017004
    Abstract: The present disclosure relates to systems and methods for updating email addresses based on email generation patterns. The method includes accessing a plurality of electronic activities used to update a plurality of member node profiles. The method includes determining that the plurality of member node profiles is linked to a group node profile of a group entity. The methods includes identifying, for each of the plurality of member node profiles, a first field-value pair of the member node profile corresponding to an email address. The method includes determining, for each member node profile, a correlation between the email address, a second field-value pair corresponding to a first name and a third field-value pair corresponding to a last name. The method includes determining, based on the determined correlation, an electronic account identifier pattern. The method includes storing an association between the group node and the electronic account identifier pattern.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: May 25, 2021
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Yury Markovsky, Yurii Brunets, Rajit Kurien Joseph