This inventor holds 4 USPTO granted patents and 7 published patent applications. Top assignee: Proofpoint, Inc.. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: The Innovative Contributions of Daniel Wallace Rapp
Introduction
Daniel Wallace Rapp is a notable inventor based in Highland, Utah. He has made significant contributions to the field of technology, particularly in message compliance and machine learning systems. With a total of three patents to his name, Rapp continues to push the boundaries of innovation.
Latest Patents
Rapp's latest patents include a "Message compliance scanning and processing system." This invention focuses on message compliance analysis, where a computing platform accesses historical messages and pre-processes them to train a disclaimer model. The model identifies whether input messages include a disclaimer, allowing for efficient compliance review. Another significant patent involves "Using a machine learning system to process a corpus of documents associated with a user to determine a user-specific and/or process-specific consequence index." This system processes user-associated documents to create smart groups and user interfaces, enhancing document management and analysis.
Career Highlights
Rapp is currently employed at Proofpoint, Inc., where he applies his expertise in developing innovative solutions. His work has been instrumental in advancing the company's capabilities in message compliance and machine learning technologies.
Collaborations
Some of Rapp's notable coworkers include Brian Sanford Jones and Spencer Koehler. Their collaborative efforts contribute to the innovative environment at Proofpoint, Inc.
Conclusion
Daniel Wallace Rapp's contributions to technology through his patents and work at Proofpoint, Inc. highlight his role as a significant inventor in the field. His innovative solutions continue to shape the landscape of message compliance and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
