About Us

Having analyzed thousands of patents, created hundreds of claim charts, and participated in patent sales and licensing, we have developed a deep understanding of what drives patent value. Our mission is to provide user-friendly solutions for patent analysis. Traditionally, this work requires hiring patent experts, which is costly, time-consuming, and prone to error—even for seasoned professionals. While commercial patent tools automate certain tasks, they are not designed for the type of comprehensive assessment we provide. These tools are also expensive, require skilled users, and rely primarily on patent office data, which often lacks the insights necessary for evaluating enforceability or commercial value.

Researchers from the University of California at Berkeley, School of Law, published a seminal paper “Valuable Patents” authored by John R. Allison, Mark A. Lemley, Kimberly A. Moore & R. Derek Trunkey (“Lemley”). Their research aimed to identify what makes a patent valuable and how such patents can be recognized. The study hypothesized that patents involved in litigation are among the most valuable, making them ideal for analyzing the characteristics of high-value patents. This thesis remains widely accepted today, and Pelent’s methodology is largely built upon this foundational research.

First, we assume that litigated patents are valuable. Second, we assert that these patents inherently possess significant enforcement and commercial value. Patent litigation is notoriously expensive, requiring lawyers and experts to invest hundreds, if not thousands, of hours reviewing technical documentation, scrutinizing patent specifications, and analyzing prior art to develop compelling Evidence of Use (EOU) and supporting assertion arguments. While not every valuable patent is litigated, the correlation is strong enough to suggest that litigated patents can serve as a reliable proxy for high-value patents.

Pelent is an AI-driven, rule-based system that combines logic with expert knowledge. It acquires patent data daily from the USPTO and U.S. patent infringement litigations. Using Natural Language Processing (NLP) and custom algorithms specifically designed for patents, Pelent can perform individual patent analyses in minutes and portfolio analyses in hours rather than days or weeks. The system is capable of handling an unlimited number of patents, routinely processing portfolios containing hundreds or even thousands of patents.

Pelent was founded in 2015 by Richard Moses, who brings extensive experience working with leading patent organizations, including IBM, Intel, Philips, Fujitsu, and Panasonic. Richard currently supports SMEs, Fortune 500 companies, and government organizations with patent assessment, monetization, and portfolio development. He is also a subject matter expert in semiconductor products and their industrial applications.

Richard graduated with honors from Concordia University, earning both a Bachelor of Science and a Master of Science in Electrical Engineering. He is an IEEE Fellow and a member of the Licensing Executives Society (LES) and Professional Engineers Ontario. His academic distinctions include the F. A. Gerard Prize, the Concordia University Electrical Engineering Medal, and a scholarship from the National Research Council of Canada.

Current methods are often costly, difficult to use, and highly labor-intensive, requiring individuals with specialized skill sets. As Richard recalls,“When I began my career as a hardware engineer, we designed logic by hand. Later, at IBM Microelectronics, we were creating and manufacturing the world’s most complex, multi-million–gate systems on a chip—an achievement made possible only through automation. Entering the IP world felt like stepping back in time; the work was still largely manual, time-consuming, and prone to error. Surprisingly, this remains the norm today. I was determined to find a better way.”
— Richard Moses