Location History:
- Rheinbach, DE (2013 - 2019)
- Bonn, DE (2010 - 2022)
Company Filing History:
Years Active: 2010-2025
Title: Jan Puzicha: Innovating Document Analysis and Predictive Coding
Introduction: Jan Puzicha, based in Bonn, Germany, is an accomplished inventor with a substantial portfolio of 20 patents. His contributions to the fields of predictive coding and automated document analysis have significantly advanced how documents are processed and utilized in various industries.
Latest Patents: Among his latest patents are innovative systems and methods for predictive coding. These patents encapsulate advanced techniques for analyzing documents by receiving a plurality of documents along with user input via a computing device. The process involves hard coding documents based on identified subjects, using processor-executed instructions to generate initial control sets, analyzing these sets to determine seed set parameters, and ultimately coding and analyzing portions of documents through an adaptive identification cycle. Additionally, Jan has developed systems for user-defined automated document feature modeling, extraction, and optimization. This allows end users to customize data models and extraction rules tailored to specific focus documents, enhancing the efficiency and accuracy of document reviews.
Career Highlights: Jan Puzicha's professional journey includes meaningful tenures at industry-leading companies such as Recommind, Inc. and Open Text Holdings, Inc. His work there has propelled advancements in the automation of document processing and analysis, making significant impacts on how companies manage and utilize their document repositories.
Collaborations: Throughout his career, Jan has collaborated with notable colleagues, including Thomas Hofmann and Steve Vranas. Their joint efforts have fostered a creative environment that has led to groundbreaking innovations in document review and predictive analytics.
Conclusion: Jan Puzicha's inventive contributions have not only resulted in a significant number of patents but have also played a critical role in transforming document analysis methodologies. His work continues to influence the landscape of automated document processing, paving the way for future innovations in the field.