Frequently Asked Questions

• 2 deep transformers-based AIs to serve as poly-subject matter experts.
• Draws from a library of 600,000 words with 46 + years of training from 5+ million USPTO and EPO granted patents across all tech types.
• Utilizes large model territory with 790 million parameters.

Provide us with a specific patent related query and we can generate an accurate report next day. 

We offer here-to-for unattainable individual customized reports and annual subscriptions services tailored to your specific needs at a fraction of the cost of current IP analysis tools and work flows.

Vector-based patent search refers to an artificial intelligence method of searching and retrieving patents based on vector representations of patent documents. In this approach, patents are transformed into numerical vectors that capture their semantic meaning and relationships with other patents quickly and accurately. 

PatentSense AI has several applications in the patent marketplace, including improved patent discovery, prior art search, patent portfolio analysis, patent clustering and classification, infringement analysis, patent portfolio pruning, and identifying potential licensing opportunities.