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.

With the proliferation of AI-based patent searching tools, it is getting harder to determine what kind of tool will work best for your business. If you or your clients are conducting patent research in areas with cutting edge technology, tool selection is even more important if you want to be sure you are protecting your innovations.

The race is on.  With over $500B being spent on foundational models and supporting infrastructure, the tech giants are jockeying for their place as the go-to provider of Generative AI capabilities.  Surely, it’s an exciting time for us in the tech industry as models continue to leapfrog each other with new capabilities and ever-expanding context windows. 

There is an artificial intelligence (AI) arms race in many industries right now and patent intelligence is no exception. As various providers work to ensure that they are not being left behind, the user community is left sorting through all the noise to determine what kind of solution makes sense for their specific business or legal practice. This can be a difficult task, even with a reasonable understanding of AI capabilities.