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Patent Monitor connects to PatBase and Pat-KM

Saving time and expenses on patent categorization through multi label categorization and machine learning. That is what Patent Monitor users benefit from on a daily basis in a variety of industries. With our newest functionality these benefits can be extended to PatBase and Pat-KM users as well.

PatBase is a market-leading global patent database, developed by Minesoft and RWS, which allows its users to search, display and analyse patents. With Minesoft’s Pat-KM, users can design a customisable patent knowledge management workflow to help centralise, store, and disseminate key patent records. It’s now possible for both PatBase and Pat-KM users to connect to the Averbis Patent Monitor and include state-of-the-art AI classification for patent categorisation, monitoring and alerting.

Using the data streaming platform, Apache Kafka, we set up a seamless workflow. Functionalities include the automated import of query results and folders from PatBase, full machine learning capabilities and export of results into your Pat-KM inspection folders. Train your custom machine learning algorithm based on your expert knowledge and automatically identify and classify patents most relevant to you, all within your own PatBase and Pat-KM environment.

After initial set-up of your machine learning models and classification tasks, you are ready to enjoy the significant time savings and efficiency improvements the Patent Monitor offers. Time savings on manual classification and pre-selection can become as high as 75-90%, freeing up your experts’ time to focus on what really matters.

Benefit from state-of-the-art AI

Are you a PatBase or PatKM user and want to find out how much time you can save on your patent classification? Get in touch today to find out!

For more information about PatBase and Pat-KM, please go to: