InfraNodus is a sophisticated AI-powered platform built on network science and natural language processing to help you analyse, visualise and explore textual information like never before. At its core it converts any body of text into a knowledge graph where nodes represent concepts and edges represent co-occurrences of those concepts. Through this interactive graph you can identify major thematic clusters, influential terms, and, crucially, structural gaps—areas where content lacks connection and where new ideas may lie. Whether you import articles, literature reviews, survey responses or social media data, InfraNodus gives you a new lens on your information by revealing the unseen links and opportunities. With support for AI-generated insights, topic modelling, exportable graphs and integrations for research and ideation workflows, the platform is designed for professionals who want deeper understanding, faster discovery and smarter decision-making from their text-based data.

Key Features

• Visualise text as an interactive knowledge graph to uncover concepts and relationships.

• Identify structural gaps in discourse or data that highlight opportunities for insight and innovation.

• AI-powered suggestion of new connections, research questions or content ideas based on graph analysis.

• Support for text, PDF, web link and CSV / spreadsheet imports for flexible data handling.

• Export capabilities for graphs (SVG/images), data (JSON/CSV) and shareable links to support collaboration.

• Built-in workflows for brainstorming, content strategy, research review and SEO gap analysis.

Industries

• Research & Academia

• Content Creation & Social Media Strategy

• Marketing, SEO & Competitive Intelligence

• Corporate Strategy & Innovation Consulting

• Data Analysis & Qualitative Insight

• Education, Workshops & Ideation Sessions

InfraNodus empowers users to convert text-rich content into visual knowledge graphs that uncover hidden relationships, thematic clusters and even missing links in the data. You might upload a set of academic articles or market research documents and instantly map out how ideas interconnect, locate weakly connected areas that represent potential innovation opportunities, and export the results for further work. For example a strategy team studying consumer trends might import survey responses and web articles, use InfraNodus to highlight the main themes and identify under-explored segments, then craft a novel campaign based on the gaps discovered. A researcher analysing literature reviews could upload multiple PDF papers, visualise concept overlaps, detect overlooked nodes and generate new research questions. InfraNodus turns complex text matter into manageable, visual insight and accelerates ideation, research and content strategy.