Why Pelent

Determined to find a better way.

Our mission is simple

Produce superior patents and patent portfolios

After analyzing thousands of patents, producing hundreds of claim charts, and selling and licensing patents we have a pretty good idea what drives patent value. Our raison d’être is to provide easy-to-use products to analyze patents. The typical approach is to hire lawyers and patent experts, which is prohibitively expensive, time consuming and error prone, even for experienced patent specialists. Commercial patent tools automate certain tasks but are not geared for value analysis. Additionally, they are expensive and require a skilled user. Tools also rely on patent office data and there is simply no information that can be directly applied to determine value, as patents are prosecuted irrespective if they have value or not.

Hence we changed how portfolio analysis is done by developing an AI platform optimized for the task. Rather than depending on individual SMEs, our AI system leverages the collective knowledge of thousands of legal, technical and business experts combined with millions of records and real-time data. We have replaced a subjective assessment with a systematic approach to efficiently analyze a patent or a portfolio of any size, producing results that are data driven and accurate.

Our Unique Solution

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 objective of the Lemley research was to determine what makes a patent valuable and how to identify those valuable patents. The research presumed that litigated patents are at least a subset of the most valuable patents, and therefore the easiest way to learn about the characteristics of valuable patents is to study litigated patents. Fast forward to today, the thesis remains valid – and the Pelent methodology stems in large part from this research.

First, we premise that litigated patents are valuable. Second, we premise that litigated patents inherently have strong Business Value and Legal Value. Patent litigation is notoriously expensive – lawyers and experts spend hundreds and perhaps thousands of hours searching technical papers, poring over the patent specifications and prior art to produce strong Evidence of Use along with associated assertion arguments. While not every valuable patent ends up being litigated, the relationship is sufficiently strong to posit that litigated patents represent a proxy for valuable patents.

Pelent is an AI rule-based system applying logic and expert knowledge. The system acquires patent data from the USPTO and US patent infringement litigations daily. Natural Language Processing (NLP) and custom algorithms are designed specifically for patents. Patent analysis takes minutes versus hours, portfolio analysis typically takes hours versus several days or weeks. There is no limit on the number of patents – the system routinely analyzes portfolios with hundreds and thousands of patents.

Since the launch of Version 1.0 in 2015 the database has grown considerably, in essence becoming ‘smarter’. Over a hundred thousand litigations have been analyzed, indexed and archived in the system’s data base. Version 2.0, released in 2019, improved performance, reliability and security. The system runs 24/7 on high performance cloud-based servers.

History

Pelent was founded in 2015 by Richard Moses. Richard has served the world’s leading patent organizations, including IBM, Intel, Philips, Fujitsu and Panasonic. Currently he assists SMEs, Fortune 500 companies and government organizations with patent assessment, monetization and portfolio development. Richard is also a subject matter expert in semiconductor products and their use in the industry.

Formerly, Richard worked for IBM, Hitachi and Philips Information Systems. His experience spans strategic planning, program management, technical marketing and application engineering and design. Richard graduated with honors from Concordia University with a BS and MS in Electrical Engineering is an IEEE Fellow and member of the LES and Professional Engineers of Ontario. He received the F.A. Gerard Prize, the EE Medal from Concordia University, and a scholarship from the National Research Council of Canada.

Finding valuable patents is really hard

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

“When I started my career as a hardware engineer, we handcrafted logic design manually. Fast forward to IBM Microelectronics where we designed and produced the world’s most complex multi-million gate systems on a chip; impossible without the use of automation. So when I entered the world of IP, it was like stepping back in time. The work was done manually, was time consuming and error prone – surprisingly, it’s still done this way! I was determined to find a better way.”
— Richard Moses

Utilizing AI

Patent checkup is inexpensive and provides accurate results quickly

We invented a way to analyze patents by developing an AI system designed specifically for patents using machine language processing combined with a knowledge database stemming from thousands of lawyers and patent experts. Clients work smarter, faster and achieve results that are data driven and accurate. Whether your goal requires patent assessment or determining the likelihood that a portfolio can be successfully licensed or sold — we provide unrivaled insights that are inexpensive and easy to use.

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There is no other system like it