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.

AI agents are everywhere right now - writing code, answering questions, summarizing research, even automating full workflows. It’s no surprise that - with the release of our new Deep Research Agent - we’ve been hearing from a lot of people who are exploring how to make agents work for them.

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?

Recent advancements in AI technology have paved the way for interactive engagement models that are transforming the way IP professionals and innovators work together. These platforms foster real-time collaboration, integrate directly into existing workflows, and allow for tailored experiences based on specific organizational needs. Instead of passively searching databases, users can now engage with tools that adapt to their unique processes, making IP management a more strategic and value-driven endeavor.

FluidityIQ customers can now get detailed novelty assessments, including a complete analysis of prior art, a full feature matrix and links to source documents to maintain connection with source data. Importantly, this novelty assessment is completely embedded within FluidityIQ’s Digital Research Assistant so users can conversationally interact with the report to customize or expand it using natural language. All reports are formatted and can be exported for use in other deliverables.

FluidityIQ makes it easy for Woods Hole Oceanographic Institute to evaluate specific innovations and exposes contextual information in ways other platforms simply cannot do. FluidityIQ uses cutting edge AI to provide innovation-specific classification groups, rich analytics and a flexible Private Innovation Library to enable collaboration and integration of patent information with non-patent literature and research papers.

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.

By launching an AI-native patent intelligence platform, FluidityIQ aims to transform the way companies innovate with its intuitive, fast, and cost-effective tools that simplify the search process and advance research.

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.

At FluidityIQ we believe that the work of experts is important and should not be diluted. A researcher, attorney or R&D professional should not have to spend resources or hundreds of person hours to figure out how to become an AI expert just to do their job. They should be able to focus on their core job without the fear of being left behind. That is why we aim to democratize AI for patent research market.