Patents by Inventor Kai Kamberger

Kai Kamberger 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: 11769096
    Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.
    Type: Grant
    Filed: January 4, 2022
    Date of Patent: September 26, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Alexander Maass, Ben Regev, Duncan Hoffman, Eugene Mak, Elise Norman, Elizabeth Patitucci, Yevhen Shevchuk, Harkirat Singh, Joshua Aschheim, Juan Jimenez Puig, Jorien Van Den Bergh, Kai Kamberger, Maciej Biskupiak, Marissa Miracolo, Matthew Julius Wilson, Nicolas Prettejohn, Patrick Walter, Rootul Patel, Stephen Heitkamp, Richard Deitch
  • Publication number: 20220129806
    Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.
    Type: Application
    Filed: January 4, 2022
    Publication date: April 28, 2022
    Inventors: Alexander Maass, Ben Regev, Duncan Hoffman, Eugene Mak, Elise Norman, Elizabeth Patitucci, Yevhen Shevchuk, Harkirat Singh, Joshua Aschheim, Juan Jimenez Puig, Jorien Van Den Bergh, Kai Kamberger, Maciej Biskupiak, Marissa Miracolo, Matthew Julius Wilson, Nicolas Prettejohn, Patrick Walter, Rootul Patel, Stephen Heitkamp, Richard Deitch
  • Patent number: 11216762
    Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: January 4, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Alexander Maass, Ben Regev, Duncan Hoffman, Eugene Mak, Elise Norman, Elizabeth Patitucci, Yevhen Shevchuk, Harkirat Singh, Joshua Aschheim, Juan Jimenez Puig, Jorien Van Den Bergh, Kai Kamberger, Maciej Biskupiak, Marissa Miracolo, Matthew Julius Wilson, Nicolas Prettejohn, Patrick Walter, Rootul Patel, Stephen Heitkamp, Richard Deitch