Patents by Inventor Josh Allen Brown

Josh Allen Brown 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).

  • Machine-Learning Driven Data Analysis Based on Demographics, Risk, and Need
    Publication number: 20230334590
    Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec
    Type: Application
    Filed: June 20, 2023
    Publication date: October 19, 2023
    Applicant: Nayya Health, Inc.
    Inventors: Sina Chehrazi, Josh Allen Brown, Lisa Renee Carpenter, Akash Magoon, Aman Magoon
  • Machine-learning driven data analysis based on demographics, risk, and need
    Patent number: 11720973
    Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: August 8, 2023
    Assignee: Nayya Health, Inc.
    Inventors: Sina Chehrazi, Josh Allen Brown, Lisa Renee Carpenter, Akash Magoon, Aman Magoon
  • Machine-Learning Driven Data Analysis Based on Demographics, Risk, and Need
    Publication number: 20220327627
    Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec
    Type: Application
    Filed: August 13, 2021
    Publication date: October 13, 2022
    Applicant: Nayya Health, Inc.
    Inventors: Akash MAGOON, Aman MAGOON, Josh Allen BROWN, Lisa Renee CARPENTER, Sina CHEHRAZI
  • Machine-learning driven data analysis based on demographics, risk, and need
    Patent number: 11113770
    Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: September 7, 2021
    Assignee: Nayya Health, Inc.
    Inventors: Akash Magoon, Aman Magoon, Josh Allen Brown, Lisa Renee Carpenter, Sina Chehrazi