Patents by Inventor Dmitry Starshov

Dmitry Starshov 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 FOR AUTOMATIC GENERATION OF ELECTRONIC ACTIVITY CONTENT FOR RECORD OBJECTS USING MACHINE LEARNING ARCHITECTURES
    Publication number: 20250117416
    Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.
    Type: Application
    Filed: December 19, 2024
    Publication date: April 10, 2025
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Sergey Surkov, Andrii Kvachov, Dmitry Starshov
  • SYSTEMS AND METHODS FOR AUTOMATIC GENERATION OF ELECTRONIC ACTIVITY CONTENT FOR RECORD OBJECTS USING MACHINE LEARNING ARCHITECTURES
    Publication number: 20250045308
    Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.
    Type: Application
    Filed: July 31, 2024
    Publication date: February 6, 2025
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Sergey Surkov, Andrii Kvachov, Dmitry Starshov
  • SYSTEMS AND METHODS FOR AUTOMATIC GENERATION OF DATASETS FOR RECORD OBJECTS USING MACHINE LEARNING ARCHITECTURES
    Publication number: 20250045313
    Abstract: The present disclosure relates to systems and methods for automatic generation of datasets for record objects using one or more large language models. A system can identify a plurality of electronic activities. The system can generate, using one or more large language models, a first set of text strings from the electronic activities. The system can store, in one or more data structures, a first association between the first set of text strings and the record object. The system can identify a second electronic activity. The system can generate, using the one or more large language models, a second set of text strings based on data corresponding to the second electronic activity and the first set of text strings. The system can store, in the one or more data structures, a second association between the second set of text strings and the record object.
    Type: Application
    Filed: July 31, 2024
    Publication date: February 6, 2025
    Applicant: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Sergey Surkov, Andrii Kvachov, Dmitry Starshov
  • Systems and methods for automatic generation of electronic activity content for record objects using machine learning architectures
    Patent number: 12216692
    Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.
    Type: Grant
    Filed: July 31, 2024
    Date of Patent: February 4, 2025
    Inventors: Oleg Rogynskyy, Sergey Surkov, Andrii Kvachov, Dmitry Starshov