Patents by Inventor Rupesh Mehta

Rupesh Mehta 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: 20250139388
    Abstract: Disclosed is an improved approach to implement an improved approach to resolve errors with software automations. Instead of crashing when an error is encountered, the approach provides a question to the user, and uses the answer to attempt a retry for the step that was subject to the error.
    Type: Application
    Filed: December 30, 2024
    Publication date: May 1, 2025
    Applicant: Kognitos, Inc.
    Inventors: Siddharth Agrawal, Aaron Dean Brown, Binny Sher Gill, Syed Faizul Hai, Sandeep Joshi, Ziv Kennan, Mohsin Mumtaz, Faiyaz Shaikh, Rupesh Mehta
  • Publication number: 20240362425
    Abstract: Disclosed is an improved approach to implement an improved approach to retrospectively examiner and edit facts for an automation run. The user can then continue processing from the point of the fact change, rather than being required to restart the entire process from the very beginning.
    Type: Application
    Filed: July 6, 2024
    Publication date: October 31, 2024
    Applicant: Kognitos, Inc.
    Inventors: Siddharth Agrawal, Aaron Dean BROWN, Binny Sher Gill, Ziv Kennan, Rupesh Mehta, Mohsin Mumtaz
  • Publication number: 20240362423
    Abstract: Disclosed is an improved approach to review and analysis a history of recorded facts for automation runs. This can be used to improve automation accuracy and to create dynamic dashboards.
    Type: Application
    Filed: July 6, 2024
    Publication date: October 31, 2024
    Applicant: Kognitos, Inc.
    Inventors: Siddharth Agrawal, Aaron Dean BROWN, Binny Sher Gill, Rupesh Mehta, Aditya Sethuraman
  • Publication number: 20080072140
    Abstract: Techniques are disclosed herein to automatically learn a template that describes a common structure present in documents in a training set. The structure of the template is compared to the structure of the documents (or at least a part of each document) in the training set, one-by-one, and generalized in response to differences between the template and the document to which the template is currently being compared. If the structure of any particular document is considered too dissimilar from the structure of the template, then the template is not modified. Various generalization operators are added to the template to generalize the template. One such generalization operator is an “OR”, which indicates that only one of “n” sub-trees below the “OR” operator in the template is allowed at the corresponding position in a document.
    Type: Application
    Filed: November 27, 2007
    Publication date: March 20, 2008
    Inventors: V.G. Vydiswaran, Rupesh Mehta, Amit Madaan