Patents by Inventor Sharvanath Pathak

Sharvanath Pathak 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: 11797612
    Abstract: Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: October 24, 2023
    Assignee: GLEAN TECHNOLOGIES, INC.
    Inventors: Eddie Zhou, Mrinal Mohit, Calvin Qi, Sumeet Sobti, Dragos Florian Ristache, Debarghya Das, Piyush Prahladka, Sharvanath Pathak
  • Publication number: 20230103076
    Abstract: Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.
    Type: Application
    Filed: September 30, 2021
    Publication date: March 30, 2023
    Applicant: GLEAN TECHNOLOGIES, INC.
    Inventors: Eddie Zhou, Mrinal Mohit, Calvin Qi, Sumeet Sobti, Sharvanath Pathak, Debarghya Das, Arvind Jain, Piyush Prahladka
  • Publication number: 20230099588
    Abstract: Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.
    Type: Application
    Filed: September 29, 2021
    Publication date: March 30, 2023
    Applicant: GLEAN TECHNOLOGIES, INC.
    Inventors: Eddie Zhou, Mrinal Mohit, Calvin Qi, Sumeet Sobti, Dragos Florian Ristache, Debarghya Das, Piyush Prahladka, Sharvanath Pathak
  • Patent number: 11593409
    Abstract: Methods and apparatuses for providing a permissions-aware search and knowledge management system that incorporates user suggested results, document verification, and intelligent user activity tracking across group hierarchies to improve the quality and relevance of search results are described. The permissions-aware search and knowledge management system may enable content stored across a variety of local and cloud-based data stores to be indexed, searched, and displayed to authorized users. The identification and ranking of relevant documents corresponding with a user's search query may take into account user suggested results from the user and others assigned to the same group as the user, whether the underlying content of a search result was verified by a content owner as being up-to-date, the amount of time that has passed since the underlying content was verified by the content owner, and the recent activity of the user and related group members.
    Type: Grant
    Filed: February 19, 2021
    Date of Patent: February 28, 2023
    Assignee: Glean Technologies, Inc.
    Inventors: Anthony Gentilcore, Tirunelveli Vishwanath, Piyush Prahladka, Arvind Jain, Neboysa Omcikus, Cindy Chang, Shivaal Roy, Mustafa Tikir, James Simonsen, Sharvanath Pathak, Eddie Zhou, Sumeet Sobti, Mrinal Mohit, Dragos Florian Ristache, Alice Wang, Yiming Jen
  • Publication number: 20220269703
    Abstract: Methods and apparatuses for providing a permissions-aware search and knowledge management system that incorporates user suggested results, document verification, and intelligent user activity tracking across group hierarchies to improve the quality and relevance of search results are described. The permissions-aware search and knowledge management system may enable content stored across a variety of local and cloud-based data stores to be indexed, searched, and displayed to authorized users. The identification and ranking of relevant documents corresponding with a user's search query may take into account user suggested results from the user and others assigned to the same group as the user, whether the underlying content of a search result was verified by a content owner as being up-to-date, the amount of time that has passed since the underlying content was verified by the content owner, and the recent activity of the user and related group members.
    Type: Application
    Filed: February 19, 2021
    Publication date: August 25, 2022
    Applicant: GLEAN TECHNOLOGIES, INC.
    Inventors: Anthony Gentilcore, Tirunelveli Vishwanath, Piyush Prahladka, Arvind Jain, Neboysa Omcikus, Cindy Chang, Shivaal Roy, Mustafa Tikir, James Simonsen, Sharvanath Pathak, Eddie Zhou, Sumeet Sobti, Mrinal Mohit, Dragos Florian Ristache, Alice Wang, Yiming Jen
  • Publication number: 20220261445
    Abstract: Methods and apparatuses for providing a permissions-aware search and knowledge management system that incorporates user suggested results, document verification, and intelligent user activity tracking across group hierarchies to improve the quality and relevance of search results are described. The permissions-aware search and knowledge management system may enable content stored across a variety of local and cloud-based data stores to be indexed, searched, and displayed to authorized users. The identification and ranking of relevant documents corresponding with a user's search query may take into account user suggested results from the user and others assigned to the same group as the user, whether the underlying content of a search result was verified by a content owner as being up-to-date, the amount of time that has passed since the underlying content was verified by the content owner, and the recent activity of the user and related group members.
    Type: Application
    Filed: February 18, 2021
    Publication date: August 18, 2022
    Applicant: GLEAN TECHNOLOGIES, INC.
    Inventors: Anthony Gentilcore, Tirunelveli Vishwanath, Piyush Prahladka, Arvind Jain, Neboysa Omcikus, Cindy Chang, Shivaal Roy, Sharvanath Pathak, Chaitanya Asawa, Mrinal Mohit, Eddie Zhou, Debarghya Das
  • Patent number: 10114565
    Abstract: Methods and systems for managing, storing, and serving data within a virtualized environment are described. In some embodiments, a data management system may manage the extraction and storage of virtual machine snapshots, provide near instantaneous restoration of a virtual machine or one or more files located on the virtual machine, and enable secondary workloads to directly use the data management system as a primary storage target to read or modify past versions of data. The data management system may allow a virtual machine snapshot of a virtual machine stored within the system to be directly mounted to enable substantially instantaneous virtual machine recovery of the virtual machine.
    Type: Grant
    Filed: February 20, 2015
    Date of Patent: October 30, 2018
    Assignee: RUBRIK, INC.
    Inventors: Arvind Nithrakashyap, Kenny To, Jiangbin Luo, Sharvanath Pathak, Jonathan Derryberry
  • Publication number: 20160124764
    Abstract: Methods and systems for managing, storing, and serving data within a virtualized environment are described. In some embodiments, a data management system may manage the extraction and storage of virtual machine snapshots, provide near instantaneous restoration of a virtual machine or one or more files located on the virtual machine, and enable secondary workloads to directly use the data management system as a primary storage target to read or modify past versions of data. The data management system may allow a virtual machine snapshot of a virtual machine stored within the system to be directly mounted to enable substantially instantaneous virtual machine recovery of the virtual machine.
    Type: Application
    Filed: February 20, 2015
    Publication date: May 5, 2016
    Applicant: RUBRIK, INC.
    Inventors: Arvind Nithrakashyap, Kenny To, Jiangbin Luo, Sharvanath Pathak, Jonathan Derryberry