Patents by Inventor Michal Gdak

Michal Gdak 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: 12236355
    Abstract: Systems and methods for generating a machine-learning (ML) model for extracting information from one or more electronic documents, where the ML model can be used as a data object, which can be part of a database command or as part of a document information extraction process that is continuously running (e.g., document information extraction pipeline).
    Type: Grant
    Filed: January 18, 2024
    Date of Patent: February 25, 2025
    Assignee: Snowflake Inc.
    Inventors: Michal Gdak, Ganeshan Ramachandran Iyer, Tomasz Malisz, Mikolaj Niedbala, Pawel Pollak, Saurin Shah, Jan Tomasz Topinski, Daria Wieteska
  • Publication number: 20240338577
    Abstract: Systems and methods for generating a machine-learning (ML) model for extracting information from one or more electronic documents, where the ML model can be used as a data object, which can be part of a database command or as part of a document information extraction process that is continuously running (e.g., document information extraction pipeline).
    Type: Application
    Filed: January 18, 2024
    Publication date: October 10, 2024
    Inventors: Michal Gdak, Ganeshan Ramachandran Iyer, Tomasz Malisz, Mikolaj Niedbala, Pawel Pollak, Saurin Shah, Jan Tomasz Topinski, Daria Wieteska
  • Publication number: 20240338521
    Abstract: Systems and methods for: processing a current electronic document, using a set of machine-learning (ML) models, to extract a set of values for a set of data points based on a schema, where the schema describes the set of data points to be extracted from electronic documents; determining whether to select the current electronic document for human validation based on the schema; and adding the current electronic document to a human validation queue in response to determining to select the current electronic document for human validation based on the schema.
    Type: Application
    Filed: April 8, 2024
    Publication date: October 10, 2024
    Inventors: Michal Gdak, Ganeshan Ramachandran Iyer, Tomasz Malisz, Mikolaj Niedbala, Pawel Pollak, Saurin Shah, Jan Tomasz Topinski
  • Patent number: 11922328
    Abstract: Systems and methods for generating a machine-learning (ML) model for extracting information from one or more electronic documents, where the ML model can be used as a data object, which can be part of a database command or as part of a document information extraction process that is continuously running (e.g., document information extraction pipeline).
    Type: Grant
    Filed: September 22, 2023
    Date of Patent: March 5, 2024
    Assignee: Snowflake Inc.
    Inventors: Michal Gdak, Ganeshan Ramachandran Iyer, Tomasz Malisz, Mikolaj Niedbala, Pawel Pollak, Saurin Shah, Jan Tomasz Topinski, Daria Wieteska