Patents by Inventor Anu PUVVADA

Anu PUVVADA 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: 20260141331
    Abstract: The invention relates to computer-implemented systems and methods for providing an end-to-end GenAI workforce transformation platform. An embodiment of the present invention provides an AI guide through an adoption experience for employers and employees to make an impact on new ways of working that change how employers deliver new value while creating a way for employees to own and be valued for their own career. For employers, the innovative platform surfaces the gaps to adoption for employees, helps discover new automation and augmentation opportunities, and puts a strategic plan in place to upskill and reskill today's workforce for an AI-enabled future. The platform empowers employees with ownership of their future, provides a career coach that aligns with their core motivations, facilitates secure, shareable proof of their competencies for career advancement, and provides a strategic blueprint to adopt AI in their roles.
    Type: Application
    Filed: November 21, 2025
    Publication date: May 21, 2026
    Inventors: Anu Puvvada, John Doel, Jonathan Tompary, Andrew Urban
  • Publication number: 20240296352
    Abstract: A computer-implemented system, a method, and computer products for development and use of a knowledge framework are provided. The system comprises one or more processors and a memory including computer program code. The computer program code is configured to, when executed, cause the one or more processors to perform various tasks. These tasks include receive session data related to responses received from a participant in a session, receive machine learning data, create or enhance the knowledge framework based on the machine learning data and the session data, and create additional machine learning data using the knowledge framework as a source of information. The method performs these tasks, and the computer readable medium contains similar computer program code. The method can perform these tasks with computer synergistic generative artificial intelligence, machine learning, and knowledge framework subsystems.
    Type: Application
    Filed: September 29, 2023
    Publication date: September 5, 2024
    Inventors: John A. YANOSY, JR., Anu PUVVADA, Stephanie KIM, Andrew URBAN, Michael SISSELMAN
  • Publication number: 20240296356
    Abstract: An assessment theory model is contemplated that provides objective and high-quality assessments for assessment objects provided in some environment context. The assessment theory model provides a semantic and logical knowledge framework that may be used to design any assessment model for any kind of assessment object or environment contexts. The assessment theory model may help identify causal relationships between characteristics of the assessment object and the environment context. The assessment theory model guides the creation and definition of more specific models by helping to define the understanding of what should be considered in an assessment and guides the determination of the scope and focus of questions. The assessment theory model may permit or require provision of evidence and/or rationales in support of answers to promote objectivity and reduce bias. Scoring may be conducted in a manner that reduces bias so that more accurate decisions may be made based on scoring.
    Type: Application
    Filed: March 1, 2023
    Publication date: September 5, 2024
    Inventors: John A. Yanosy, JR., Anu Puvvada, Stephanie Kim, Andrew Urban