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.

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.

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.