InfraNodus

About InfraNodus

InfraNodus analyses text as a network rather than as a bag of words. It converts any body of writing — research notes, survey responses, customer reviews, search results, an Obsidian vault — into a knowledge graph where concepts are nodes and co-occurrence forms the edges, then uses network measures to surface the structure: which topical clusters dominate, which are peripheral, and, most usefully, where the structural gaps are. That gap detection is the product's real proposition. Most summarisation tools tell you what a text says; InfraNodus points at what is conspicuously missing between two clusters that never connect, and generates research questions or writing prompts to bridge them. That makes it a thinking instrument for researchers, writers and analysts rather than a document summariser. The application areas the vendor documents are unusually broad: qualitative and thematic analysis, survey and sentiment analysis of customer reviews, market and trend research, entity-driven SEO, mind mapping and brainstorming, and — increasingly — building knowledge graphs and reasoning ontologies to ground LLM retrieval, with an MCP server so agents can query the graph directly. Public example graphs cover news of the day, Google search results and product review corpora, and it integrates with Obsidian for personal knowledge management.

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