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Innovation Intelligence Simplified
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The Evolution of Intellectual Property
From Ancient Manuscripts to AI
Innovation brief: Data center growth and battery technology drives innovation to mitigate risk
Warehouses and data centers are changing faster than the risks around them are understood. Automated storage, lithium-ion batteries, liquid-cooled servers and connected control systems are rewriting how these facilities operate, and how they fail. To see where innovation is responding, FluidityIQ analyzed nearly 7,000 patent publications across seven technology areas, from battery fire and power resilience to water damage, warehouse automation and operational technology cybersecurity. The picture that emerges is clear: fire-related innovation is accelerating fastest, AI is spreading into every area, and a growing number of companies, not just the established leaders, are driving new invention.
More features all at the same cost
Since July, FluidityIQ has added a series of features that make the platform more valuable to the R&D, product and IP teams we serve. Unlike many of our competitors, these features are all part of the core platform and come at no additional cost, whether you are a pay-as-you-go customer or a heavy user with an unlimited license.
Custom tagging now lets you apply your own taxonomy to results
Patent classifications like CPC and IPC are assigned at filing and reflect an external scheme. They are useful for comparability but rarely aligned to how your organization frames its own technology, products, or risk. Custom tagging lets you apply your own taxonomy directly to a set of search results: multi-level, color-coded, and searchable, structured in your language rather than someone else’s.
FluidityIQ adds portfolio analysis: No bolt on module or new contract required
For FluidityIQ customers, the portfolio analysis capability will just show up when you login. It's the same login, the same interface, and the same pay-as-you-go model as everything else. No new seats to provision, no module to license, no separate contract to sign. You build a portfolio when you need one and pay for the portfolios you build, with nothing sitting idle on a subscription line in between.
Technology brief: Innovation trends in dexterous robotics
For all the attention paid to humanoid robots walking, lifting, and keeping their balance, the field's most stubborn engineering problem sits at the end of the arm. Building a hand that can feel an object, adjust its grip, and manipulate it with anything close to human finesse remains unsolved, and the patent record shows a global field racing at it from every direction at once.
FluidityIQ and Inteum Partner to Bring AI-Powered Patent Intelligence Directly into the Technology Transfer Workflow
FluidityIQ the AI-native patent and design intelligence platform, and Inteum Company, LLC, developer of the Minuet intellectual property management platform used by technology transfer offices around the world, today announced a partnership that embeds FluidityIQ's patent intelligence directly into the tech transfer workflow.
FluidityIQ Joins CBlindspot.ai’s Connector Catalog, Bringing AI-Native Patent Research Inside the IP Workflow
FluidityIQ, an AI-native patent intelligence platform, today announced a technology partnership with CBlindspot.ai, an IP and LegalTech operations intelligence platform. Under the agreement, FluidityIQ’s semantic patent research engine joins CBlindspot’s vendor-neutral connector catalog, making FluidityIQ the first vendor in that catalog and the anchor of CBlindspot’s first wave of integrations.
Interactive analytics: From observation to exploration
This week, FluidityIQ is releasing interactive analytics. The charts are no longer a summary layer sitting on top of your results. They are a navigation layer built into them. Click a technology cluster and your results filter to that cluster while every other chart on the panel updates simultaneously. Click an assignee, and the same thing happens. Stack the two filters together, and you are now looking at patents from that assignee within that cluster without leaving your search, without rebuilding your query, without touching a filter menu.
Patent watch: what FluidityIQ does differently
The most consistent structural gap in patent surveillance is the separation of patent and industrial design monitoring into disconnected tools, databases, and workflows. Leading platforms treat these as separate problems: patent alerts in one environment, design alerts (if they are available at all) in another, with no shared library and no unified view of the landscape. Read how we are different and see a direct comparison to our competitors.
Design Search shouldn't start with a code
FluidityIQ Design Search launches at INTA London this May. We are accepting a limited number of beta partners ahead of that launch. Beta partners receive free access to the platform for the beta period — including the integrated environment described above — and a direct line to the FluidityIQ team to shape what comes next. We're looking for practitioners for whom design clearance is a regular part of their practice, not an occasional one. Seats are limited, and we'll be filling them before INTA.
Why "AI patent search" is not what you think it is — and why it matters
In the past two years, IP professionals at every level have begun experimenting with AI tools to accelerate their work. Some of those experiments have been productive. Many have been frustrating. And a significant number have produced outputs that looked compelling until someone with real patent expertise examined them closely.
Are you still paying an annual subscription for patent searching?
As large language models find their way into high-stakes professional workflows, the challenge is no longer whether they can produce plausible answers, but whether those answers can be trusted. The difference lies not in the intelligence of the model itself, but in the tools it can access and the control experts have over how it is used. A simple calculator analogy helps make this distinction clear.
Bring it in-house with FluidityIQ
The rapid rise of artificial intelligence is fundamentally reshaping the technical landscape for intellectual property professionals. Moreover, it has forever changed the way humans interact with information. In just a few years, AI-powered tools have gone from experimental to essential, transforming how companies and law firms approach complex tasks like patent research. This shift isn’t just about adopting new technology—it’s about reimagining how IP teams operate, collaborate, and deliver value.
Rethinking patent search: Boolean vs. semantic approaches
In the world of patent research, the debate between Boolean and semantic search methods is more alive than ever. It’s fascinating how much time and energy professionals invest in crafting complex Boolean syntax—hours spent perfecting every AND, OR, and NOT—while often neglecting to give semantic search the same attention and rigor. Semantic search, which leverages machine learning to understand the context and meaning behind queries, is sometimes dismissed quickly if it doesn’t instantly replicate the results of a painstaking Boolean search. But does that comparison even make sense?
FluidityIQ expands data environment with over 2.8 million academic research papers
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.
Unlock seamless collaboration with FluidityIQ’s new sharing features
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.
Introducing FluidityIQ’s powerful new search capabilities
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.
Why FluidityIQ is transforming innovation insight for IP professionals
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?
The hidden costs of skipping pre-filing patent searching
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.
Better, faster, cheaper patent intelligence
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.”
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