Patents by Inventor Rajit Joseph

Rajit Joseph 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).

  • SYSTEMS AND METHODS FOR CLASSIFYNG ELECTRONIC ACTIVITIES BASED ON SENDER AND RECEPIENT INFORMATION
    Publication number: 20220353344
    Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
    Type: Application
    Filed: March 21, 2022
    Publication date: November 3, 2022
    Applicant: People ai, Inc.
    Inventors: Rajit Joseph, Stefan Hermanek, Jose Alberto Muniz Navarro, Dylan Halladay, Heorhiy Kozlov, Oleg Rogynskyy
  • Systems and methods for classifying electronic activities based on sender and recipient information
    Patent number: 11283888
    Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: March 22, 2022
    Assignee: People.ai, Inc.
    Inventors: Rajit Joseph, Stefan Hermanek, Jose Alberto Muniz Navarro, Dylan Halladay, Heorhiy Kozlov, Oleg Rogynskyy
  • SYSTEMS AND METHODS FOR CLASSIFYING ELECTRONIC ACTIVITIES BASED ON SENDER AND RECIPIENT INFORMATION
    Publication number: 20200110750
    Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
    Type: Application
    Filed: December 9, 2019
    Publication date: April 9, 2020
    Applicant: People.ai, Inc.
    Inventors: Rajit Joseph, Stefan Hermanek, Jose Alberto Muniz Navarro, Dylan Halladay, Heorhiy Kozlov, Oleg Rogynskyy
  • Systems and methods for classifying electronic activities based on sender and recipient information
    Patent number: 10505888
    Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
    Type: Grant
    Filed: March 21, 2019
    Date of Patent: December 10, 2019
    Assignee: People.ai, Inc.
    Inventors: Rajit Joseph, Stefan Hermanek, Jose Alberto Muniz Navarro, Dylan Halladay, Heorhiy Kozlov, Oleg Rogynskyy
  • SYSTEMS AND METHODS FOR CLASSIFYING ELECTRONIC ACTIVITIES BASED ON SENDER AND RECIPIENT INFORMATION
    Publication number: 20190364009
    Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
    Type: Application
    Filed: March 21, 2019
    Publication date: November 28, 2019
    Applicant: People.ai, Inc.
    Inventors: Rajit Joseph, Stefan Hermanek, Jose Alberto Muniz Navarro, Dylan Halladay, Heorhiy Kozlov, Oleg Rogynskyy
  • Systems, methods, and apparatuses for rendering scored opportunities using a predictive query interface
    Patent number: 9390428
    Abstract: Disclosed herein are systems and methods for rendering scored opportunities using a predictive query interface including means for receiving input from a user device specifying a dataset of sales data for a customer organization, in which the sales data specifies a plurality of sales opportunities; generating indices from rows and columns of the dataset, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices in a queryable database within the host organization; selecting one or more of the plurality of sales opportunities specified within the sales data; querying the indices for a win or lose predictive result for each of the selected one or more sales opportunities; and displaying the win or lose predictive result for each of the selected one or more sales opportunities to the user device as output. Other related embodiments are further disclosed.
    Type: Grant
    Filed: August 29, 2013
    Date of Patent: July 12, 2016
    Assignee: salesforce.com, inc.
    Inventors: Muhammad Rehman, Rajit Joseph
  • SYSTEMS, METHODS, AND APPARATUSES FOR RENDERING SCORED OPPORTUNITIES USING A PREDICTIVE QUERY INTERFACE
    Publication number: 20140278771
    Abstract: Disclosed herein are systems and methods for rendering scored opportunities using a predictive query interface including means for receiving input from a user device specifying a dataset of sales data for a customer organization, in which the sales data specifies a plurality of sales opportunities; generating indices from rows and columns of the dataset, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices in a queryable database within the host organization; selecting one or more of the plurality of sales opportunities specified within the sales data; querying the indices for a win or lose predictive result for each of the selected one or more sales opportunities; and displaying the win or lose predictive result for each of the selected one or more sales opportunities to the user device as output. Other related embodiments are further disclosed.
    Type: Application
    Filed: August 29, 2013
    Publication date: September 18, 2014
    Applicant: salesforce.com, Inc.
    Inventors: Muhammad Rehman, Rajit Joseph