Cipher is an online platform using machine learning to classify patent data
On this page:
Cipher’s way of approaching classification is particularly useful because it’s customised to the way Red Hat views the world in terms of technological taxonomy.
Jared Engstrom, Head of Patent Development, Red Hat
Cipher classifiers use supervised machine learning to automate patent to technology mapping
Cipher automates the generation of patent landscapes providing an interactive report of all owners of a specified technology:
Cipher automatically clusters any patent portfolio, and maps it to portfolios owned by other companies in the space:
To find out more about the Cipher product platform specification, including:
Download the Specification sheet
We can develop a solution that fits your individual needs, but here are some options our customers have chosen:
Ensure you have the right portfolio to meet your strategic patenting objectives.
Understand who’s doing what by automating patent to technology mapping.
Combine patent and revenue data to determine rational licensing outcomes.
Justify patent budgets to CFOs and others to communicate the impact of your investment.
Automate manual reviews for efficient execution of M&A and licensing transactions.
Be prepared with evidence to create a fast and effective threat assessment.
Assess your portfolio in comparison to other owners through your technology lens.
Identify opportunities to create value through licensing or sale of patent assets.
Speak to one of our Cipher team today.
