Patents by Inventor Chris Ackerson

Chris Ackerson 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 methods for searching and summarizing financial related documents, and user interface for displaying the same
    Patent number: 12619647
    Abstract: Systems and methods for searching, summarizing, and automating workflows for financial related documents, and a user interface for displaying the same, are disclosed. The summaries are generated in response to a user query or through natural-language, conversational chat, and they provide the user with underlying supporting documentation to allow the user to follow-up and/or confirm as necessary. An AI-powered document search is performed to identify relevant documents and relevant snippets within the documents. The relevant snippets and/or documents are then summarized by one or more AI models. The models use metadata associated with the documents from the document search to rank the snippets for summarization. AI agents further automate the workflow.
    Type: Grant
    Filed: August 16, 2024
    Date of Patent: May 5, 2026
    Assignee: AlphaSense, Inc.
    Inventors: Rajmohan Neervannan, Jaakko Kokko, Chris Ackerson, Stephen Lynch
  • SYSTEMS AND METHODS FOR SEARCHING AND SUMMARIZING FINANCIAL RELATED DOCUMENTS, AND USER INTERFACE FOR DISPLAYING THE SAME
    Publication number: 20250061141
    Abstract: Systems and methods for searching, summarizing, and automating workflows for financial related documents, and a user interface for displaying the same, are disclosed. The summaries are generated in response to a user query or through natural-language, conversational chat, and they provide the user with underlying supporting documentation to allow the user to follow-up and/or confirm as necessary. An AI-powered document search is performed to identify relevant documents and relevant snippets within the documents. The relevant snippets and/or documents are then summarized by one or more AI models. The models use metadata associated with the documents from the document search to rank the snippets for summarization. AI agents further automate the workflow.
    Type: Application
    Filed: August 16, 2024
    Publication date: February 20, 2025
    Inventors: Rajmohan Neervannan, Jaakko Kokko, Chris Ackerson, Stephen Lynch