Patents by Inventor Ashish Nagar

Ashish Nagar 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: 20250232763
    Abstract: A semantic similarity based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from the vector space semantic similarity between speaker sentences, which is agnostic to the use of synonyms and tolerates a large amount of paraphrasing. This approach scales easily to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real-time so that the client is able to control which intents are detected and how. In some embodiments, the semantic similarity based configurable system comprises a scenario detection system, a conversation tag system, a bi-encoder, and a cross-encoder, where the scenario detection system receives inputs of sample phrases and customer-agent utterances and generates results. The sample phrases may be phrases and keywords that describe a scenario expressing the behavior of a customer or call agent.
    Type: Application
    Filed: April 3, 2025
    Publication date: July 17, 2025
    Inventors: Madhur Singhal, Ashish Nagar, Tanul Singh, Abhimanyu Talwar, Sumeet Khullar
  • Patent number: 12361933
    Abstract: A semantic similarity based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from the vector space semantic similarity between speaker sentences, which is agnostic to the use of synonyms and tolerates a large amount of paraphrasing. This approach scales easily to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real-time so that the client is able to control which intents are detected and how. In some embodiments, the semantic similarity based configurable system comprises a scenario detection system, a conversation tag system, a bi-encoder, and a cross-encoder, where the scenario detection system receives inputs of sample phrases and customer-agent utterances and generates results. The sample phrases may be phrases and keywords that describe a scenario expressing the behavior of a customer or call agent.
    Type: Grant
    Filed: April 3, 2025
    Date of Patent: July 15, 2025
    Assignee: Ujwal Inc.
    Inventors: Madhur Singhal, Ashish Nagar, Tanul Singh, Abhimanyu Talwar, Sumeet Khullar
  • Publication number: 20200067870
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Application
    Filed: September 11, 2019
    Publication date: February 27, 2020
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth
  • Patent number: 10425376
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Grant
    Filed: August 7, 2015
    Date of Patent: September 24, 2019
    Assignee: Kinestral Technologies, Inc.
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth
  • Publication number: 20160203403
    Abstract: A cloud learning system for smart windows is provided. The system includes at least one server configured to couple via a network to a plurality of window systems, each of the plurality of window systems having at least one control system and a plurality of windows with electrochromic windows and sensors, wherein the at least one server includes at least one physical server or at least one virtual server implemented using physical computing resources. The at least one server is configured to gather first information from the plurality of window systems, and configured to gather second information from sources on the network and external to the plurality of window systems. The at least one server is configured to form at least one rule or control algorithm usable by a window system, based on the first information and the second information, and configured to download the at least one rule or control algorithm to at least one of the plurality of window systems.
    Type: Application
    Filed: August 7, 2015
    Publication date: July 14, 2016
    Inventors: Paul Nagel, Wally Barnum, Stephen Coffin, Brandon Nichols, Ashish Nagar, Kamil Bojanczik, Jonathan Ziebarth