Experience
Software that brings knowledge to life.
More than just a knowledge base
JUNOfy makes knowledge accessible in day-to-day work – through quick access, clear navigation and intelligent support within the right context. Powerful features ensure that knowledge is intuitively accessible and adapts to the user, situation and context.
Semantic search
JUNOfy’s semantic search not only understands search terms, but also their meaning.
Smart Knowledge Chat
Ask questions and get reliable answers from approved knowledge.
Context-based navigation
Knowledge landscapes and breadcrumbs ensure quick orientation.
Corporate design
JUNOfy adapts to your company’s corporate design.
Feedback centre
The feedback centre collects user feedback and supports the continuous improvement of content.
Personalisation
Content, entry points and views can be delivered based on user needs.
Our principles for accessible knowledge
Four principles for using knowledge clearly, efficiently and intuitively.
01
Clarity
Clear orientation across the entire knowledge base.
02
Consistency
Uniform structures for reliable knowledge use.
03
Efficiency
Quick access to relevant knowledge.
04
Acceptance
Knowledge, users enjoy putting into practice.
Experience the difference
Book a personal demo and discover how JUNOfy makes it easier to use knowledge in your day-to-day work.
Experience knowledge – without detours.
The Smart Knowledge Chat takes centre stage: Users engage in dialogue with corporate knowledge, ask questions in natural language and receive context-related, comprehensible answers. Clear entry points and consistent structures provide orientation – without configuration or individual adjustments.
Role- and rights-based access
Individual entry points for each user group
Uniform knowledge structures
Consistent classifications
Control of visibility and quality
Available anywhere
JUNOfy can be used on all devices – from desktops to smartphones. Your knowledge remains available no matter where you work.
Thematic clustering in knowledge bases
Contextualisation through knowledge landscapes
Automated classification through AI classification
Improved data quality as the basis for search and AI