FluidityIQ Joins CBlindspot.ai’s Connector Catalog, Bringing AI-Native Patent Research Inside the IP Workflow
FluidityIQ and CBlindspot.ai sign technology partnership agreement
FluidityIQ becomes the first vendor in CBlindspot’s platform, enabling enterprise IP teams to run semantic patent search from inside a workflow step — without switching tools.
WESTWOOD, Mass., May 29, 2026 — 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.
The integration connects FluidityIQ’s search engine directly into CBlindspot workflow steps. An IP professional working inside a CBlindspot workflow — conducting a prior art search, a freedom-to-operate review, or a landscape analysis — can now run a FluidityIQ query over 165M+ global patents without leaving the platform. Results are returned in context, inside the step, so the research stays connected to the work.
Connectivity is handled over the Model Context Protocol (MCP) or FluidityIQ's API depending on the client environment. FluidityIQ is already MCP-native and reachable from Claude, Microsoft Copilot, and ChatGPT; CBlindspot adds a purpose-built IP workflow surface to that network. A Chrome extension and Office add-ins surface FluidityIQ at the right step inside the browser, without requiring researchers to change their environment.
End clients receive a set number of FluidityIQ-powered runs at no charge to test real workflows before committing. FluidityIQ's research output stays with the end user; CBlindspot does not store or redistribute it.
“IP professionals do their best thinking inside their own research flow, not in a separate tab. The patent research model has been the same for decades — Boolean strings, keyword guessing, results you have to translate. We built FluidityIQ so a researcher can build a corpus and talk to it. Putting that capability one click away inside CBlindspot’s workflows means it shows up exactly when an IP team needs it, without breaking what they’re already doing,” said Jeffrey Roy, CEO of FluidityIQ.
“We built CBlindspot to be neutral ground — a place where an IP team can see its whole workflow and pick the right tool for each step. FluidityIQ earned the first slot because the product is genuinely different. You build a corpus and talk to it, instead of fighting Boolean strings. Putting that one click away inside the workflow is exactly the kind of value the catalog exists to deliver,” said Sacha Lafaurie, CEO and co-founder of CBlindspot.ai.
The integration is rolling out to CBlindspot clients now.
Click here to download the complete press release. More information about FluidityIQ can be found at www.fluidityiq.com. More information about CBlindspot.ai can be found at www.cblindspot.ai.