Patents Assigned to Eugenie Technologies Private Limited
  • System and method for unsupervised anomaly prediction
    Patent number: 11620202
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: April 4, 2023
    Assignee: EUGENIE TECHNOLOGIES PRIVATE LIMITED
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury
  • SYSTEM AND METHOD FOR UNSUPERVISED ANOMALY PREDICTION
    Publication number: 20220391299
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Application
    Filed: January 28, 2022
    Publication date: December 8, 2022
    Applicant: Eugenie Technologies Private Limited
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury
  • System and method for automated insight curation and alerting
    Patent number: 11409962
    Abstract: The invention relates to systems and methods for automated insight curation and alerting. The system generates insights from time-series data at scale using unsupervised machine learning algorithms. The system can further automate the suggested actions by signaling the actuators or middleware which ultimately executes the action.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: August 9, 2022
    Assignee: Eugenie Technologies Private Limited
    Inventors: Soudip RoyChowdhury, Vaibhavi Joshi, Siddhesh Pisal, Sudarshan Wadkar, Utkarsh Agarwal
  • System and method for unsupervised anomaly prediction
    Patent number: 11269752
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Grant
    Filed: July 7, 2021
    Date of Patent: March 8, 2022
    Assignee: Eugenie Technologies Private Limited
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury