Decentralized Autonomous Evaluation Engine for Intellectual Property Assets [patent]

Publication date

August 6, 2020

Inventors

Erich Lawson Spangenberg, Daniel Lawrence Bork, Pascal Asselot, George Karypis (professor)

Abstract

Valuation determinants, including remuneration structures from prior transactions, registrability, and ability to withstand challenge are extracted, analyzed and weighted and loaded into a knowledge base. The knowledge base growing based on a decentralized and public facing approach. Remuneration structures are normalized and used to train predictive algorithms based on a market analysis and previous transactions. The algorithms are able both to learn from previous transactions and to assess the importance of particular valuation determinants in determining the value under particular circumstances. An equitable rate for a new transaction is determined by examining the knowledge base and varying the valuation determinants.

Link to patent application

Decentralized Autonomous Evaluation Engine for Intellectual Property Assets

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