Patents by Inventor Kellan Williams

Kellan Williams 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).

  • SYSTEMS AND PROCESSES FOR SCREENING FOR AFFILIATIONS
    Publication number: 20260037990
    Abstract: An association screening system for automatically processing and analyzing vast amounts of unstructured data to provide accurate, contextually relevant association screening may utilize one or more computing devices equipped with processors to conduct precise, contextually relevant screenings for affiliations with entities such as state-owned enterprises (SOEs) and non-governmental organizations (NGOs).
    Type: Application
    Filed: January 24, 2025
    Publication date: February 5, 2026
    Inventors: Kellan Williams, Michael Franks
  • Systems and processes for contextualized entity resolution and sentiment analysis in adverse media screening
    Patent number: 12481667
    Abstract: An adverse media screening system for automatically processing and analyzing vast amounts of unstructured data to provide accurate, contextually relevant adverse media screening may utilize one or more computing devices equipped with processors to implement advanced machine learning and natural language processing models. These models may assess the context and sentiment associated with entities mentioned in various media sources, enhancing the specificity and accuracy of screening processes.
    Type: Grant
    Filed: February 12, 2025
    Date of Patent: November 25, 2025
    Assignee: Vital4Data, LLC
    Inventors: Kellan Williams, Amy Barbieri, Scott Stafford, Michael Franks
  • SYSTEMS AND PROCESSES FOR CONTEXTUALIZED ENTITY RESOLUTION AND SENTIMENT ANALYSIS IN ADVERSE MEDIA SCREENING
    Publication number: 20250335452
    Abstract: An adverse media screening system for automatically processing and analyzing vast amounts of unstructured data to provide accurate, contextually relevant adverse media screening may utilize one or more computing devices equipped with processors to implement advanced machine learning and natural language processing models. These models may assess the context and sentiment associated with entities mentioned in various media sources, enhancing the specificity and accuracy of screening processes.
    Type: Application
    Filed: February 12, 2025
    Publication date: October 30, 2025
    Inventors: Kellan Williams, Amy Barbieri, Scott Stafford, Michael Franks