About Us

After analyzing thousands of patents, producing hundreds of claim charts, and engaging in patent sales and licensing, we have gained a solid understanding of what drives patent value. Our mission is to offer user-friendly products for patent analysis. Traditionally, this involves hiring patent experts, which is costly, time-consuming, and prone to errors, even for seasoned professionals. While commercial patent tools automate some tasks, they are not designed for the type of assessment we provide. Moreover, these tools are expensive and require skilled users. They typically rely on patent office data, which lacks the information necessary for our analysis, as patents are prosecuted regardless of their 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”).  The aim of their research was to determine what makes a patent valuable and how to identify such patents. The study hypothesized that litigated patents are among the most valuable, making them the best candidates for analyzing the characteristics of valuable patents. This thesis remains valid today, and the Pelent methodology is largely based on this foundational research.

First, we assume that litigated patents are valuable. Second, we assert that such patents inherently possess significant enforcement and commercial vale. Patent litigation is notoriously expensive, with lawyers and experts investing hundreds, if not thousands, of hours examining technical papers, scrutinizing patent specifications, and reviewing prior art to produce compelling Evidence of Use (EOU) and associated assertion arguments. Although not every valuable patent undergoes litigation, the correlation is strong enough to suggest that litigated patents serve as a proxy for valuable patents.

Pelent is an AI rule-based system that utilizes logic and expert knowledge. It acquires patent data daily from the USPTO and US patent infringement litigations. Leveraging Natural Language Processing (NLP) and custom algorithms tailored for patents, Pelent conducts patent analysis in minutes rather than hours, and portfolio analysis in hours instead of days or weeks. The system can handle an unlimited number of patents, routinely analyzing portfolios containing hundreds or even thousands of patents.

Pelent was founded in 2015 by Richard Moses, who has extensive experience with leading patent organizations such as IBM, Intel, Philips, Fujitsu, and Panasonic. Richard currently assists 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. Previously, Richard worked for IBM, Hitachi, and Philips Information Systems, gaining experience in strategic planning, program management, technical marketing, and application engineering and design.

Richard graduated with honors from Concordia University with both a BS and an MS in Electrical Engineering. He is an IEEE Fellow and a member of the LES and Professional Engineers of Ontario. His academic distinctions include the F.A. Gerard Prize, the EE Medal from Concordia University, and a scholarship from the National Research Council of Canada.

Current methods are generally costly and difficult to use; they demand considerable effort and require individuals with specialized skill sets.

“When I began my career as a hardware engineer, we crafted logic designs by hand. Fast forward to my time at IBM Microelectronics, where we designed and produced the world’s most complex multi-million gate systems on a chip, a feat made possible only through automation. Entering the world of IP felt like stepping back in time; the work was still done manually, consuming time and prone to errors. Surprisingly, this is still the norm. I was determined to find a better way.”
— Richard Moses