This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Data.ai Inc.. Active years: 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: 2026
Title: Lorre Samantha Atlan: Innovator in Application Matching Technology
Introduction
Lorre Samantha Atlan is a notable inventor based in St. Louis, MO (US). He has made significant contributions to the field of technology, particularly in the area of application matching using large language models. His innovative approach has the potential to enhance user experience in various applications.
Latest Patents
Lorre holds a patent for "Persona and application matching using large language models." This invention involves a sophisticated system that utilizes a graph with nodes representing applications and tags that describe subjective qualities of these applications. The system is designed to respond to natural language queries that describe user personas. By generating prompts for a large language model (LLM) based on these queries, the system can effectively match personas to relevant applications. The output from the LLM is then classified to identify known applications, which are evaluated based on quality scores. Applications that exceed a certain quality threshold are displayed to users, enhancing the overall user interface experience.
Career Highlights
Lorre is currently employed at Data.ai Inc., where he continues to develop and refine his innovative ideas. His work focuses on leveraging advanced technologies to improve application matching processes, making them more intuitive and user-friendly.
Collaborations
Lorre has collaborated with talented individuals such as Ramanpreet Singh Buttar and Jess Robert Kerlin. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Lorre Samantha Atlan is a pioneering inventor whose work in application matching technology showcases the intersection of language models and user experience. His contributions are paving the way for more effective and personalized application interactions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile