Portfolio analysis is a third way to build a corpus in FluidityIQ. Where a utility search starts from an invention description and a design search starts from an image, a portfolio lets you define the corpus directly — by keying in a list of patent numbers, uploading a spreadsheet, or searching and selecting by assignee. What you create is a first-class FluidityIQ workspace, so the same analytics and Deep Research Agent you already use are ready to run against it the moment it's built.

All users have access to the administrative module and can open the module by clicking on the icon in the upper right-hand corner of the application after logging in (see below). The admin module will enable all users to see their usage and manage their settings.

Claims charting has traditionally been a time-intensive manual process, requiring practitioners to work through claim language line by line against a set of references. FluidityIQ compresses that workflow significantly. By combining a semantically ranked corpus with a research agent that understands natural language instructions, you can move from a search strategy to a structured, sourced claims analysis in a single session. Whether you are conducting a freedom-to-operate review, building an infringement narrative, or mapping a competitive landscape, the output is the same: a clear, organized record of where claim elements find support in the prior art and where they do not. The ability to anchor the analysis to either user-defined features or the specific language of an existing claim gives practitioners the flexibility to tailor the chart to the task at hand, without rebuilding the workflow from scratch each time.

Design patent clearance, freedom-to-operate analysis, and competitive design monitoring all begin with the same challenge: finding visually similar designs across a global corpus of filings. Traditional keyword and classification searches were built for utility patents — they struggle with the fundamentally visual nature of industrial design. FluidityIQ's Design Patent Search is purpose-built for this problem, combining a corpus of more than 33 million vectorized design images with natural language and image-based search to surface relevant results faster and with greater precision than any classification-driven approach.

FluidityIQ's Deep Research Agent transforms a set of patent search results into a working research environment — one where you can interrogate a curated corpus of patents, draw on the full breadth of academic literature, and generate structured, citable reports through natural conversation. Whether you are conducting a novelty assessment, mapping a competitive landscape, or exploring the academic foundations of an emerging technology, the agent gives you a research partner that works at the speed of your questions.

Patent landscape reports help companies and attorneys turn complex patent data into actionable business intelligence, supporting smarter innovation, reduced legal risk, and stronger competitive positioning. By analyzing who is patenting what, where, and how quickly, these reports reveal technology trends, competitive threats, freedom-to-operate risks, and untapped white space—insights that inform R&D strategy, portfolio development, market entry, licensing, M&A due diligence, and litigation planning. With FluidityIQ’s tools, teams can quickly surface these insights, visualize crowded and open technology areas, and make confident, data-driven decisions that align intellectual property strategy with real-world business goals.