We are excited to announce a significant enhancement to the FluidityIQ data environment: the addition of over 2.8 million academic research papers. This expansion marks a major milestone in our ongoing mission to empower researchers, innovators, and organizations with the most comprehensive and timely data resources available. With this beta update, our customers gain unprecedented access to a wealth of scientific knowledge, positioning FluidityIQ as a leader in research intelligence.

Innovation thrives when teams work together. At FluidityIQ, we believe that research and discovery should be a team sport—whether you’re filing a patent, driving R&D, or analyzing the competitive landscape. That’s why we’re excited to announce powerful new collaboration features that make working together easier than ever before.

At FluidityIQ, we believe that keeping up with the rapidly evolving intellectual property landscape requires innovative tools that empower professionals to go deeper, faster. Our latest product update brings together our market-leading semantic search capabilities with a brand-new feature: the ability to target specific assignees or groups of assignees when building a surveillance portfolio. This powerful combination is designed to help IP and R&D professionals gain sharper insights, build targeted portfolios, and stay ahead in an increasingly competitive environment.

In today’s innovation-driven world, global R&D spending has skyrocketed—tripling since 2000. Patent filings have followed suit, yet the share of R&D budgets devoted to patenting activities (like drafting, filing, and prosecution) has actually been cut in half. What’s behind this paradox, and how can IP professionals adapt?

Our mission at FluidityIQ has always been simple: to make uncovering meaningful insights faster, easier, and more cost-effective. FluidityIQ’s new analytics dashboards are purpose-built to cut through the clutter, specifically designed to help you quickly find the signal in the noise and fast-track analysis and reporting.

Within corporate intellectual property (IP) departments, the decision to forego a pre-filing patent search is often justified as a prudent cost-saving measure, given that the United States Patent and Trademark Office (USPTO) conducts its own prior art search during examination. However, the USPTO’s search was never intended to replace an applicant’s due diligence.

FluidityIQ is pleased to work with the team at Inventors Digest to develop unique content, case studies and exclusive solutions that will both educate the community and simplify the innovation process for their readers.

When we launched FluidityIQ, we knew that if we were going to build a patent intelligence platform it had to be more than “good enough”. It had to provide real advantages to our customers. Our mantra was and is: “Better. Faster. Cheaper.”

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.

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.