Discover What Everyone Else Is Missing

Get a clear overview of any text, topic, or AI knowledge base.
Uncover content gaps to generate new ideas and insights.



 
Watch an Introduction Browser Extension

Powered by network analysis, knowledge graphs, and AI.

1. Get a visual summary

Analyze your notes, ideas, PDFs, CSVs, Google search results, surveys, tweets, spreadsheets.

2. Discover content gaps

Reveal the most important topical clusters and gaps between them using a text network.

3. Generate insight using AI

Use the built-in GPT-4 AI model to bridge those gaps and enrich your perspective.



Import your data from anywhere

Use a live editor, upload files, scrape websites.

Topic modeling & sentiment

Includes the key text analytics insights.

Interactive text visualization

Harness the power of visual thinking.

GPT-4 AI-enhanced workflow

AI that thinks with you, not for you.



Multilingual

English, German, French, Portugese, Spanish, etc.

Fully shareable

Share online, embed, or export high-res images.

Private by default

Your data is private, exportable, and hosted in EU.

Browser extension & API

Analyze web pages, YouTube, connect to your own data.



Sign Up to Try

Install Browser Extension




Step by Step Workflow:

 

You can use the built-in text editor, upload your files, or import data from Google, YouTube, Twitter, websites, RSS feeds, Evernote, Obsidian, spreadsheets etc.

Text to network graph visualization

Reveal the patterns using the text network knowledge graph, identify the main topical clusters, top keywords, structural gaps, and trends. You can also use them to augment your RAG prompts.

Topic modeling and text mining using text network analysis

Use the interactive graph to find the most relevant excerpts and discover the relations between the ideas.

Get the relevant excerpts using the graph

Find the content gaps: connect the topical clusters and ideas that are not yet linked, discover what everyone else is missing. Use our API to generate research questions that can be used to prompt your LLM workflows and AI research agents.

Structural holes in knowledge graphs generate new ideas

Use the built-in GPT-4 powered AI chat bot and underlying knowledge graph structure to generate text overviews, summary, research questions, facts, and innovative ideas.

Use OpenAI's GPT to generate research questions and innovative ideas for your discourse




Multiple Import Sources


You can ingest data from multiple sources and formats automatically, no need for a scraper anymore. Here are some of the most popular ones, you can also use the API to connect to your own data sources:

 

PDFs & Markdown

Multiple text files import: txt, pdf, md.

CSVs & Spreadsheets

Import by columns, advanced filtering

Plain Text

Copy and paste any text in real time

Google & SEO

Search results, Scholar, related search queries


YouTube

Transcripts, comments, search results

Websites

Scrape whole websites, URLs, and sitemaps

Amazon

Product search results and customer reviews

News & RSS

RSS feeds, latest news, XML files





Perfect for Personal and Professional Use

Here are some real-life use cases:

Use Case: Reveal the main topics and find the gaps between them



Problem: How can you go beyond generic AI insights?

Current AI tools provide generic summaries, offering no competitive advantage over others using the same solutions. Most existing natural language processing tools are either overly simplistic or overly complex, making it difficult to uncover hidden patterns and gaps in ideas. Their summaries tend to be superficial, and achieving deeper insights often demands advanced NLP programming skills.


 
Solution: Represent any text as a knowledge graph to see patterns and gaps between ideas.

InfraNodus will represent text as a network and use powerful graph analysis algorithms to identify and highlight the most influential keywords, topics, and their relations. You, the human, can work together with the built-in AI to see patterns, topical clusters, and — more importantly — reveal the blind spots between them. This can be useful in research and innovation for understanding a market, creating a compelling discourse, and identifying gaps between ideas so you can develop them further.


Learn More    Try It Out

Use Case: SEO and market research



Problem: How to find what people search for but do not yet find?

Identify the gap between the current informational demand and supply in order to know which keywords to target in your content and marketing strategy.


 
Solution: Use InfraNodus to build a graph that shows the difference between the demand and supply.

InfraNodus will import search results for your query, build a graph for it, and overlay it with the related search phrases graph. This way you can see the current picture of informational demand and supply, as well as the main topical clusters within.

You can use this insight to know what keywords to target when creating the content and marketing strategy. You can also compare the current demand (the search queries used) vs. current supply (the search results people get) to see what's missing and address those gaps with your content strategy.

Try It Out



 

Use Case: AI-augmented brainstorming



Problem: How to generate new ideas?

Whether you are brainstorming, doing research, or writing, you may experience writer's block or simply get stuck for new ideas.


 
Solution: InfraNodus will represent your text as a network, providing a visual overview and helping you find the gaps where the new ideas are hiding. It will then use the AI to help you generate research questions that bridge those gaps.

Our studies have shown that network representation of text encourages one to think in terms of connections, helping you make new links between the different parts of your text and make your discourse more coherent.

You will also be able to see the structural gaps in your writing: that's where the new ideas are hiding.

Learn More    Try It Out

Use Case: Qualitative research and thematic analysis of open-ended responses and customer reviews



Problem: Struggling to understand what your customers truly think?

Open-ended survey responses are difficult to analyze. Basic positive / negative categorizations fall short, and tag clouds often miss the context.


 
Solution: Uncover patterns in open-ended survey responses using network graphs.

InfraNodus visualizes customer feedback as a word graph, where words used within the same response are interconnected.

This representation will reveal the patterns and context in your customers' responses and reviews, allowing you to easily identify key topics as well as hidden relationships that other tools might miss.

Thematic Analysis Case Study    Try It Out


 
 
 
 

Start Using InfraNodus

Sign up for an account now, so you can get insight using this tool for your own data and texts.

How Does InfraNodus Work?


Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom in on any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the hidden and ponder the gaps that have yet to be bridged. Focused, yet adaptive. Rational, yet poetic.

InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on a cognitive level. Too often, people get stuck in certain ideas or thought patterns. InfraNodus can be used as a "mind antivirus" against obsessive loops — biased ideas, mundane patterns, totalitarian thinking, propaganda, and narrow-mindedness — proposing a pan~archic form of thinking that spans a range of states and modalities.

InfraNodus visualizes any text as a knowledge graph. Drawing an analogy from social sciences, words are represented as nodes, while their co-occurrences create the connections between them. This network representation enables the use of advanced graph theory algorithms to identify clusters of related ideas, highlight the most influential concepts and hidden intermediaries, and reveal gaps within the discourse. This approach can be used to enhance your perspective on any discourse and explore nuances of meaning that might otherwise remain hidden.

Additionally, AI-driven algorithms are employed to generate insights and new ideas for any discourse based on the topical clusters and gaps discovered.

To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:

Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).

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Discover the power of ecological thinking and cognitive variability using knowledge graphs and AI-driven insights.

Pricing Options

Your support is what makes it possible for us to develop this tool. All quotas are per each text. There is no limitation on the number of texts you can process every month. Prices do not include VAT for EU private customers.

Lock in current prices for life and save up to 35% (€100-€200) on our annual plans.

Monthly Annual Save up to 35%

 

 
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InfraNodus vs. Other Tools

Traditional tools and AI chatbots are limited by their inability to understand the underlying structure and relationships in your data. InfraNodus provides a unique approach to text analysis that reveals the hidden patterns and insights in your data.

without InfraNodus

Traditional Mind Mapping Tools

  • Limited to hierarchical structures that don't reveal complex relationships
  • Manual creation process is time-consuming and prone to bias
  • Difficult to integrate with text analysis or external data sources

AI Chatbots and Summarization Tools

  • Provide generic and biased responses that everyone else is getting
  • Black-box approach that doesn't show how conclusions were reached
  • Limited ability to discover unexpected connections or blind spots

Text Analysis Software

  • Focuses on statistics and word frequency without revealing conceptual connections
  • Results are often presented in tables or charts that don't show relationships
  • Limited interactive exploration capabilities

with InfraNodus

Network Visualization & Analysis

  • Reveals non-obvious connections between concepts through network graph visualization
  • Automatically generates knowledge graphs from any text or dataset
  • Uses advanced network science to augment text visualization with actionable insights

AI-Powered Knowledge Graphs

  • Provide original insights based on the underlying structure and relationships in your data
  • Interactive graph shows what's happening and can be used to steer LLM to specific topics and concepts
  • Portable GraphRAG out of the box generates better insights based on the gaps in your knowledge

Text Analysis & Insights

  • Reveals the main topics and content gaps in any text or discourse
  • Provides actionable insights based on structural optimization
  • Combines quantitative metrics with qualitative exploration

 

 

Testimonials from Our Users

InfraNodus is used by researchers, consultants, writers, marketing professionals, corporations, and NGOs — Greenpeace, Procter & Gamble, and others. Here's what some of our users have to say:

Become an Expert in Network Thinking

Our support portal contains a wealth of information on AI-enhanced text analysis, network science, data visualization, and their applications. You can learn how to create new network graphs, interpret them, discover hidden patterns in your data and share the results of your research.

You are welcome to contact us at any time via our Discord community or by submitting a support ticket. We are always happy to help you with any questions you might have and recommend the most effective ways to use InfraNodus for your research, writing, marketing, or any other purposes.

1. How to Build a Knowledge Graph

You can use the AI to generate a knowledge graph for any topic or import any text, PDF document, web page, or Google search results. More on Generating a knowledge graph with AI

2. How to Read and Interpret Network Graphs

Studies have shown that diagrams and especially network representation of data makes you think more of connections in your data. You can identify the main elements as well as the relations between them and — most importantly — discover the gaps in your knowledge using the graphs. More on Reading the Graphs

3. Find the Most Relevant Parts in Text

Network graphs are great for non-linear reading. Look at the graph, find the part you like, click on the nodes, and you'll see the excerpt of your original data that contains this exact combination. More on Nonlinear Reading

4. Discover the Content Gaps in Your Knowledge

You can use the knowledge graph to reveal the main topics in any discourse. Some topics are not very well connected: these are the content gaps that can be used to generate new ideas and insights. More on Discovering Content Gaps