Organise
Turn information into usable knowledge
Building blocks for usable knowledge
Move beyond folders and filing systems with structure, context and quality: JUNOfy helps companies organise knowledge, reveal connections and make content usable in the right context. This creates a transparent, consistent knowledge base that provides clarity and serves as the foundation for search, AI, and efficient knowledge use. Powerful features ensure that knowledge is structured, categorised and continuously improved.
Smart Knowledge Bases
Content is clearly defined, structured and assigned to the appropriate knowledge area, regardless of source or format.
Knowledge Landscapes
Content is organised within the relevant subject and usage context.
AI Classification
Automated classification for consistently structured knowledge.
Data quality through AI
AI helps improve knowledge data automatically and reduces the manual effort required to maintain quality.
Analytics Centre
The Analytics Center reveals how knowledge is used and helps teams improve content where it matters most.
Knowledge Manager
The knowledge manager enables the central configuration and organisation of knowledge bases.
When content becomes real knowledge
Use the Knowledge Manager to turn scattered content into a structured, contextual and reliable knowledge base.
Structure knowledge
1
Define knowledge bases
2
Structures, not folders
3
Centralise sources
Establish context
1
Use metadata in a targeted way
2
Build knowledge landscapes
3
Make relevance visible
Ensure quality
1
Manage content transparently
2
Supported by AI
3
Reliable knowledge bases
Ready for usable knowledge?
Organise your content and make knowledge available where it is needed.
Structure for knowledge. Clear and consistent.
Knowledge Bases and Knowledge Landscapes form the structural foundation of JUNOfy. Content is consolidated, contextualised and organised consistently – as a reliable foundation for search, AI and everyday knowledge use.
Organise related content in Knowledge Bases
Contextualisation through knowledge landscapes
Consistent knowledge structures across all content and sources
Automated content classification with AI
Improved data quality as a basis for search and AI
