Drive Constant innovation with IP Vectors

Far better than Boolean text searching: IPV Patent Analysis reports use generative AI, large language models and proprietary scoring algorithms to compare a Subject patent to potentially thousands of other patents within a defined CPC family. CPC stands for Cooperative Patent Classification (CPC) which is a hierarchical classification system that’s managed by the EPO and the US Patent and Trademark Office. It’s divided into nine sections which in turn are sub-divided into classes, sub-classes, groups and sub-groups. There are approximately 250,000 classification entries.

Precision Results: IPV Patent analysis reports deliver precise comparisons that identify similar patents, score them and then clearly reveal in an easy-to-read report what sets the Subject patent apart from others in its CPC family. It also suggests the probability of anticipated direct or indirect infringement based on the analysis of claims. Once similar patents within a CPC have been identified, users have access to an interactive dashboard enabling them to drill down and gain the insights they need to power smart decisions when developing a product strategy or when negotiating and building patent portfolios. These highly customizable dashboards bring together data from a wide variety of sources to reveal key factors like recent office actions, assignees, jurisdictions and a lot more. This provides an easy way to connect to virtually all publicly available data including litigation reports, bringing all of this information to the user in a form that's fast and easy to digest and act upon. 

Simple, Highly Automated Process: The IPV application determines the CPC family and attention keywords and it finds the top scoring patents to analyze. These parameters can also be controlled by the user.