At FluidityIQ, we’ve spent a lot of time and treasure making sure that our patent searching capabilities exceed what’s available in the market. You can learn more about that here. Importantly, we’ve also focused a great deal of resource on what we call the “curation” phase of patent research.  

Outsourced searches are usually executed by creating several compound search strategies across one or more platforms, using a variety of key words, synonyms and Boolean operators to limit the number of patents that need to be reviewed.  This yields a series of disparate results that then need to be combined and analyzed. The resulting output – a patent search report - is a static artifact, representing only a snapshot in time.

Even though FluidityIQ is an AI-native platform, we believe that strong results matter more than any technological feature, function, or architecture. Instead of adding to the hype surrounding all things AI in the current IP landscape, we chose to commission an objective analysis comparing the performance of our platform to two of the leading platforms in the market.