Patents by Inventor Deepak MOPARTHI

Deepak MOPARTHI 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: 20260195524
    Abstract: A system for interface automation includes an agent. The agent is configured to process an input that specifies an interface workflow, wherein the interface workflow is otherwise implementable by one or more user-actuated actions directed towards an interface by a user. The agent is also configured to generate an output that specifies a sequence of actuation commands, wherein the sequence of actuation commands triggers one or more machine-actuated actions that replicate the user-actuated actions on the interface and cause automation of the interface workflow.
    Type: Application
    Filed: February 24, 2026
    Publication date: July 9, 2026
    Inventors: Rohan Bavishi, Lina Lukyantseva, Shaya Zarkesh, David Luan, Basil Safwat, Amelia Wattenberger, Kadhir Manickam, Inigo Beitia Arevalo, James Lu, Omkar Savant, Zach Brock, Jacob van Gogh, Rick Liu, Deepak Moparthi, Claire Pajot, Joe Gershenson, Arushi Somani, Armaan Goel, Kevin Keller, Erich Elsen, Curtis Hawthorne
  • Patent number: 12585862
    Abstract: A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and/or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.
    Type: Grant
    Filed: October 8, 2024
    Date of Patent: March 24, 2026
    Assignee: Anthropic, PBC
    Inventors: Sagnak Tasirlar, David Abrahams, Lina Lukyantseva, Erich Elsen, Maxwell Nye, Augustus Odena, Rohan Bavishi, Vibhaa Sivaraman, Adam Hoff, Teddy Rothschild, Shaya Zarkesh, Deepak Moparthi, Jacob van Gogh, Claire Pajot, Curtis Hawthorne, Matt Elkherj, Warut Vijitbenjaronk, Arushi Somani, Johnny Lee, Joe Gershenson, Jordyn Shuell, Danielle Perszyk
  • Patent number: 12566913
    Abstract: A system for interface automation includes an agent. The agent is configured to process an input that specifies an interface workflow, wherein the interface workflow is otherwise implementable by one or more user-actuated actions directed towards an interface by a user. The agent is also configured to generate an output that specifies a sequence of actuation commands, wherein the sequence of actuation commands triggers one or more machine-actuated actions that replicate the user-actuated actions on the interface and cause automation of the interface workflow.
    Type: Grant
    Filed: October 8, 2024
    Date of Patent: March 3, 2026
  • Publication number: 20250299074
    Abstract: A system for providing artificial intelligence agents that automate software usage includes training servers configured to train agents during training, production servers configured to execute the trained agents during inference, a plurality of training datasets, and data flow logic. The data flow logic is configured to, provide, during the training, the agents and the plurality of training datasets to the training servers to cause the training servers to train the agents on the plurality of training datasets and thereby produce the trained agents, configure the production servers with the trained agents for use during the inference, provide, during the inference, prompts issued by clients to the production servers to cause the production servers to translate the prompts into agent calls to the trained agents that in turn cause the trained agents to generate outputs that are responsive to the prompts, and make the outputs available to the clients.
    Type: Application
    Filed: October 8, 2024
    Publication date: September 25, 2025
    Applicant: Anthropic, PBC
    Inventors: Shaya Zarkesh, Lina Lukyantseva, Rohan BAVISHI, David LUAN, Zach Brock, Yufeng Zhou, Inigo Beitia Arevalo, Kadhir Manickam, Kyle VIGEN, James Lu, Bryan Schmidt, Bryan Silverthorn, Armaan Goel, Kavya Ravi Shankar, Phillip Norman, Alexander Jaffe, Bassil Shama, Erich ELSEN, Curtis HAWTHORNE, Sagnak Tasirlar, David Abrahams, Marxell Nye, Augustus Odena, Vibhaa Sivaraman, Adam Hoff, Teddy Rothschild, Deepak MOPARTHI, Jacob van Gogh, Claire Pajot, Matt Elkherj, Warut Vijitbenjaronk, Arushi SOMANI, Johnny Lee, Joe Gershenson, Jordyn Shuell, Danielle Perszyk
  • Publication number: 20250299510
    Abstract: A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and/or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.
    Type: Application
    Filed: October 8, 2024
    Publication date: September 25, 2025
    Applicant: Anthropic, PBC
    Inventors: Sagnak Tasirlar, David Abrahams, Lina Lukyantseva, Erich Elsen, Maxwell NYE, Augustus ODENA, Rohan BAVISHI, Vibhaa Sivaraman, Adam Hoff, Teddy Rothschild, Shaya Zarkesh, Deepak MOPARTHI, Jacob van Gogh, Claire Pajot, Curtis HAWTHORNE, Matt Elkherj, Warut Vijitbenjaronk, Arushi SOMANI, Johnny Lee, Joe Gershenson, Jordyn Shuell, Danielle Perszyk
  • Publication number: 20250298495
    Abstract: Artificial Intelligence Agents to Automate Multimodal Interface Task Workflows A system for interface automation includes an agent. The agent is configured to process an input that specifies an interface workflow, wherein the interface workflow is otherwise implementable by one or more user-actuated actions directed towards an interface by a user. The agent is also configured to generate an output that specifies a sequence of actuation commands, wherein the sequence of actuation commands triggers one or more machine-actuated actions that replicate the user-actuated actions on the interface and cause automation of the interface workflow.
    Type: Application
    Filed: October 8, 2024
    Publication date: September 25, 2025
    Applicant: Anthropic, PBC
    Inventors: Rohan BAVISHI, Lina Lukyantseva, Shaya ZARKESH, David LUAN, Basil Safwat, Amelia Wattenberger, Kadhir Manickam, Inigo Beitia Arevalo, James Lu, Omkar Savant, Zach Brock, Jacob van Gogh, Rick Liu, Deepak MOPARTHI, Claire Pajot, Joe Gershenson, Arushi SOMANI, Armaan Goel, Kevin Keller, Erich ELSEN, Curtis HAWTHORNE