Company Filing History:
Years Active: 2025
Title: Innovations by Caleb Castleberry
Introduction
Caleb Castleberry is an accomplished inventor based in Dawsonville, GA. He has made significant contributions to the field of network traffic classification, holding two patents that showcase his innovative approach to machine learning and data analysis.
Latest Patents
Caleb's latest patents include a method for machine-learned classification of network traffic. This method involves receiving target input data that includes keyword input data and accessing processed network data comprising multiple groups. Each group contains a plurality of URL data objects associated with an entity. The method generates a dynamic intent score for each group by extracting keywords from webpages associated with the URL data objects and comparing them with the target input data. This process allows for the ranking of groups based on their respective dynamic intent scores and the generation of a target account list.
Another patent focuses on classifying network traffic by accessing processed network data that includes multiple groups. Each group consists of multiple URL data objects linked to an entity. The method generates a dynamic intent score for each group by creating comparison values for each URL data object and selecting the highest values. This innovative approach enhances the accuracy of network traffic classification.
Career Highlights
Caleb Castleberry is currently employed at Intentsify, LLC, where he applies his expertise in machine learning and network analysis. His work has significantly advanced the understanding of network traffic dynamics and has practical applications in various industries.
Collaborations
Caleb collaborates with talented individuals such as Charles Ronald Allieri and Marco Lagi. Their combined efforts contribute to the innovative projects at Intentsify, LLC.
Conclusion
Caleb Castleberry's contributions to the field of network traffic classification through his patents demonstrate his innovative spirit and technical expertise. His work continues to influence advancements in machine learning and data analysis.