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Patent search
done right.

The first AI that thinks like a patent professional

Unique approach

The IPRally engine contains three basic elements. First, a graph-based data model which represents how patent attorneys and examiners perceive things when drafting or examining patent applications. Second, the prosecution history of earlier real patent applications. Third, a cutting edge neural network that learns the patenting logic using these. An intelligent search engine that thinks like a patent professional is born.

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Fresh user experience

IPRally combines user control, speed of searching and unmatched search accuracy:
• Visual and intuitive user interface
Proven relevant hit finding performance
Search time about 3 seconds
Built-in semantic and technical understanding
Automatic relevant passage highlighting
Iterative search
Competitor monitoring


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Continuous learning and growth

We keep the neural network oiled by training it with new patents and search reports published weekly and validate its performance using real patent cases. The database covers about 75 million patent publications from all major countries and patent systems.

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Curious to hear more about our solution?

Is your organization willing to be in the IPR frontline? Get in touch to get a demo or take a sneak peek of the future of patent AI as we see it.