Patents by Inventor Gilaad DITAL

Gilaad DITAL 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).

  • Publication number: 20220222743
    Abstract: Systems and methods that may be used to provide a predictive tax loan or other monetary advance before the loan recipient (e.g., a taxpayer) prepares and files its tax return. A risk of providing a predictive tax loan or monetary advance is modeled separately from a machine learning model used to determine the anticipated tax refund amount and tax loan. The disclosed systems and methods may also predict accurate tax withholdings based on multiple machine learning models from multiple services, including non-payroll related services.
    Type: Application
    Filed: March 29, 2022
    Publication date: July 14, 2022
    Applicant: INTUIT INC.
    Inventors: Gilaad DITAL, Yair HORESH
  • Patent number: 11321776
    Abstract: Systems and methods that may be used to provide a predictive tax loan or other monetary advance before the loan recipient (e.g., a taxpayer) prepares and files its tax return. A risk of providing a predictive tax loan or monetary advance is modeled separately from a machine learning model used to determine the anticipated tax refund amount and tax loan. The disclosed systems and methods may also predict accurate tax withholdings based on multiple machine learning models from multiple services, including non-payroll related services.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: May 3, 2022
    Assignee: Intuit Inc.
    Inventors: Gilaad Dital, Yair Horesh
  • Publication number: 20220036386
    Abstract: A method may include detecting, in transactions of initial users, open recurring expense sequences each having expense sequence attributes, deriving, using the expense sequence attributes of the open recurring expense sequences, recurring expense groups each including a subset of the initial users, generating a prediction that the open recurring expense sequences of a recurring expense group will terminate within a period of a current period, grouping, using personal attributes of the users in the recurring expense group, the recurring expense group into recurring expense subgroups, generating, using a trained model, scores for the recurring expense subgroups each indicating a probability that the open recurring expense sequences of the respective recurring expense subgroup are extendable beyond the current period, and selecting, using the scores for the recurring expense subgroups, a recurring expense subgroup to attempt an extension of the open recurring expense sequences of the recurring expense subgroup.
    Type: Application
    Filed: July 29, 2020
    Publication date: February 3, 2022
    Applicant: Intuit Inc.
    Inventors: Yair Horesh, Onn Bar, Gilaad Dital
  • Publication number: 20210334897
    Abstract: Systems and methods that may be used to provide a predictive tax loan or other monetary advance before the loan recipient (e.g., a taxpayer) prepares and files its tax return. A risk of providing a predictive tax loan or monetary advance is modeled separately from a machine learning model used to determine the anticipated tax refund amount and tax loan. The disclosed systems and methods may also predict accurate tax withholdings based on multiple machine learning models from multiple services, including non-payroll related services.
    Type: Application
    Filed: April 28, 2020
    Publication date: October 28, 2021
    Applicant: Intuit Inc.
    Inventors: Gilaad DITAL, Yair HORESH