// Kedion — structure-first products

Structure on
top of content

Notes2Tree turns messy notes into clear trees. Dekyon turns raw content into interactive learning systems.

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Research / Academic Notes
Pasted notes
PDF upload · reading excerpts · rough notes
Extracted structure
Generated hierarchy · shareable tree

Input: messy notes.
Output: structured thinking.

// 01

Paste your notes

Drop in rough notes, research fragments, reading highlights, meeting takeaways, or brainstorms. You do not need polished writing. The point is to start from the mess.

// 02

Generate structure

Notes2Tree uses AI to build a hierarchy, surface connections, and explain why nodes belong together. It turns a pile of observations into an explorable conceptual map.

// 03

Share and reuse

Create public dendrograms, share them with a URL, and let others explore or save them into their own account. That is how Kedion spreads: useful structures moving from person to person.

Notes2Tree capabilities structure-first workflow
Input
upload chapter_notes.pdf, meeting_brief.png, or paste rough notes and ask AI to convert them into structured branches automatically
Tree actions
Right-click any node to jump to matching outline text
Drag branches onto new parents to restructure instantly
Ask AI why selected nodes belong together
Present in Navigation Mode with timed pauses on attachments
done checkmarks across multiple trees
legends + node colors for categories

What Notes2Tree can do
beyond basic tree generation.

Notes2Tree is not just an AI converter. It supports the full workflow from messy input, to hierarchy generation, to editing, explanation, organization, and presentation.

AI input

AI from notes or uploads

Ask AI to turn pasted notes or uploaded material into visualized structure instead of hand-building trees from scratch.

Documents and images

Upload documents and common image formats to generate hierarchies directly from source material.

Tree editing

Jump to outline text

Right-click nodes to move straight to the matching outline text, making revision faster and more precise.

Drag to restructure

Move nodes onto new parents to reorganize the tree without manually rewriting the outline.

Progress checkmarks

Track work across multiple trees using done states so long projects stay visible and manageable.

Legends and node colors

Organize trees visually by purpose, category, or workflow stage using legends and color-coded nodes.

Understanding and presentation

Ask why branches fit

Select branches and ask AI to explain why those nodes belong together, not just where they were placed.

Navigation Mode

Present trees in a guided mode that pauses automatically on attachments, making them usable as explorable presentations.

Dekyon — structure
on top of content

Dekyon is a structural augmentation layer for content.

It turns raw content into structured learning systems by extracting concepts, building topic trees, creating study spaces, and enabling deeper interaction around the ideas already inside the material.

Whether you are publishing for an audience, aligning a team, or guiding learners, Dekyon turns content into something people can explore, understand, and build from.

Powered by Notes2Tree. Structure emerges from the content instead of being manually authored after the fact.
What changes for the user
Consumption becomes exploration People move through content by concepts, not just by timeline.
Linear media becomes navigable structure Users can see how ideas connect instead of piecing it together alone.
One-off exposure becomes guided understanding Study spaces create room to revisit fundamentals and deepen comprehension.
Content libraries become learning systems Interaction, discussion, search, and progress live on top of the structure.

The result is content people do not just consume. They navigate it, return to it, and use it as a place to learn.

One structural system.
Three starting points.

Creators, businesses, and educators are using the same core engine: raw content goes in, AI extracts structure, and structure becomes the interface people learn and work through.

1

Creators

Turn videos, writing, and recorded conversations into interactive learning experiences that deepen engagement and create room for monetization.

content → interactive learning experience
2

Businesses

Turn internal and external video content into reusable knowledge systems that improve alignment, onboarding, and organizational intelligence.

communication → organizational intelligence
3

Educators

Turn curriculum and teaching material into structured, interactive environments where learners can move through ideas instead of only following a fixed sequence.

teaching → guided understanding systems
4

Same engine underneath

Raw content becomes extracted concepts, topic trees, study spaces, and interaction. Different segments, same system.

content → structure → interface

Raw content becomes
structured interface.

Dekyon uses one consistent progression: content comes in, AI extracts structure, and that structure becomes the environment people move through.

  • Upload content or connect an existing library
  • Dekyon extracts concepts, relationships, and underlying structure
  • Structure becomes topic trees, study spaces, and guided navigation
  • People can explore, understand, search, discuss, and build from the content
  • Powered by Notes2Tree so structure emerges instead of being manually created

The output layer

Layer
What it does
Source material
Accept video, writing, curriculum, recordings, and internal knowledge content.
Concept extraction
Identify the ideas, patterns, and relationships already present in the content.
Topic trees
Make structure visible so users can navigate by concept instead of just sequence.
Study spaces
Create places for guided review, fundamentals, and deeper interaction.
Interaction layer
Support search, summaries, discussion, and progress in context.
Notes2Tree engine
Provide the structural logic that makes the whole system possible.

Two products.
One structure engine.

Notes2Tree is the structure engine. Dekyon is the structural augmentation layer that applies that engine to content.

Products
Notes2Tree
Turn messy notes into interactive trees, reveal relationships with AI, and create shareable structure from rough thinking.
Open
Dekyon
Turn content into structured learning systems with concept extraction, topic trees, study spaces, and interaction layered directly onto the material.
Open
Product layer
Powered by Notes2Tree
The same structure logic that turns rough notes into trees is what lets Dekyon turn raw content into interfaces for learning, alignment, and deeper engagement. Structure is generated, not manually assembled.
Talk to us

Start with Notes2Tree.
Expand with Dekyon.

Use Notes2Tree today. Use Dekyon when you want structure to sit directly on top of content for creators, teams, or educators.

Dekyon for Creators
Pilotlimited
Turn published content into an experience people can explore, learn from, and return to over time.
  • Topic maps from content
  • Study spaces for core ideas
  • Deeper engagement around your work
  • Designed for monetizable learning experiences
Dekyon for Teams
Pilotlimited
Turn communication and curriculum into structured systems for alignment, onboarding, and guided understanding.
  • Meeting and knowledge capture
  • Reusable learning environments
  • Shared structure across teams or cohorts
  • Designed for business and education use cases

Turn notes into structure.
Turn content into systems.

Use Notes2Tree to generate structure from messy inputs. Use Dekyon to place that structure directly on top of content so people can learn, navigate, and build from it.

Open Notes2Tree →