Patents by Inventor Vinston Sundara Pandiyan Sigamani

Vinston Sundara Pandiyan Sigamani 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).

  • Methods and systems for artificial intelligence- assisted document annotation
    Patent number: 11907650
    Abstract: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Grant
    Filed: July 11, 2022
    Date of Patent: February 20, 2024
    Assignee: PwC Product Sales LLC
    Inventors: Jacob T. Wilson, Joseph D. Harrington, Vinston Sundara Pandiyan Sigamani, Abhishek Sanghavi, Jayakumar Pillai, Benjamin Cunningham, Lindsey P. Lewis
  • Continuous machine learning method and system for information extraction
    Patent number: 11645462
    Abstract: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: May 9, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Jacob T. Wilson, Joseph D. Harrington, Vinston Sundara Pandiyan Sigamani, Abhishek Sanghavi, Jayakumar Pillai, Benjamin Cunningham, Lindsey P. Lewis
  • METHODS AND SYSTEMS FOR ARTIFICIAL INTELLIGENCE-ASSISTED DOCUMENT ANNOTATION
    Publication number: 20230052372
    Abstract: Methods and systems for artificial intelligence (Al)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Application
    Filed: July 11, 2022
    Publication date: February 16, 2023
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Jacob T. WILSON, Joseph D. HARRINGTON, Vinston Sundara Pandiyan SIGAMANI, Abhishek SANGHAVI, Jayakumar PILLAI, Benjamin CUNNINGHAM, Lindsey P. LEWIS
  • CONTINUOUS MACHINE LEARNING METHOD AND SYSTEM FOR INFORMATION EXTRACTION
    Publication number: 20230049167
    Abstract: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Application
    Filed: August 13, 2021
    Publication date: February 16, 2023
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Jacob T. Wilson, Joseph D. Harrington, Vinston Sundara Pandiyan Sigamani, Abhishek Sanghavi, Jayakumar Pillai, Benjamin Cunningham, Lindsey P. Lewis
  • Methods and systems for artificial intelligence-assisted document annotation
    Patent number: 11443102
    Abstract: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: September 13, 2022
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Jacob T. Wilson, Joseph D. Harrington, Vinston Sundara Pandiyan Sigamani, Abhishek Sanghavi, Jayakumar Pillai, Benjamin Cunningham, Lindsey P. Lewis