Patents by Inventor Christopher Darius Herrmann

Christopher Darius Herrmann 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 determining entity attribute representations
    Patent number: 12591598
    Abstract: A computer implemented method for determining entity attributes. The method comprises determining one or more entity identifiers, determining an entity server address of the entity based on the one or more entity identifiers, wherein the entity server address points to an entity server; verifying the entity server address transmitting a message for request for information to the entity server address, receiving entity information from the entity server; and providing, to a machine learning model, the received entity information. The machine learning model is trained to generate a numerical representations of entities based on the entity information.
    Type: Grant
    Filed: October 10, 2024
    Date of Patent: March 31, 2026
    Assignee: Xero Limited
    Inventors: Maksymilian Clark Polaczuk, Christopher Darius Herrmann, Timothy Matthew Leathart, Divya Jitesh Patel
  • Systems and Methods for Determining Entity Attribute Representations
    Publication number: 20250036662
    Abstract: A computer implemented method for determining entity attributes. The method comprises determining one or more entity identifiers, determining an entity server address of the entity based on the one or more entity identifiers, wherein the entity server address points to an entity server; verifying the entity server address transmitting a message for request for information to the entity server address, receiving entity information from the entity server; and providing, to a machine learning model, the received entity information. The machine learning model is trained to generate a numerical representations of entities based on the entity information.
    Type: Application
    Filed: October 10, 2024
    Publication date: January 30, 2025
    Inventors: Maksymilian Clark Polaczuk, Christopher Darius Herrmann, Timothy Matthew Leathart, Divya Jitesh Patel
  • Systems and methods for determining entity attribute representations
    Patent number: 12147454
    Abstract: A computer implemented method for determining entity attributes. The method comprises determining one or more entity identifiers, determining an entity server address of the entity based on the one or more entity identifiers, wherein the entity server address points to an entity server; verifying the entity server address transmitting a message for request for information to the entity server address, receiving entity information from the entity server; and providing, to a machine learning model, the received entity information. The machine learning model is trained to generate a numerical representations of entities based on the entity information.
    Type: Grant
    Filed: April 14, 2021
    Date of Patent: November 19, 2024
    Assignee: XERO Limited
    Inventors: Maksymilian Clark Polaczuk, Christopher Darius Herrmann, Timothy Matthew Leathart, Divya Jitesh Patel
  • Systems and Methods for Determining Entity Attribute Representations
    Publication number: 20240211496
    Abstract: A computer implemented method for determining entity attributes. The method comprises determining one or more entity identifiers, determining an entity server address of the entity based on the one or more entity identifiers, wherein the entity server address points to an entity server; verifying the entity server address transmitting a message for request for information to the entity server address, receiving entity information from the entity server; and providing, to a machine learning model, the received entity information. The machine learning model is trained to generate a numerical representations of entities based on the entity information.
    Type: Application
    Filed: April 14, 2021
    Publication date: June 27, 2024
    Inventors: Maksymilian Clark Polaczuk, Christopher Darius Herrmann, Timothy Matthew Leathart, Divya Jitesh Patel