Knowledge Communities
See how your knowledge is really organised.
Traize Intelligence groups people, projects and decisions by how they actually work together, not by the org chart.
Introducing
Intelligence
Your knowledge is connected,
now discover what matters.
Traize Intelligence builds on the living World Model of your organisation to uncover hidden knowledge communities, critical connections, isolated knowledge areas and information that needs attention.
Powered by graph algorithms, traditional machine learning and modern generative AI.
- World Model
- Patterns
- Critical connection
- Attention
Your organisation, connected.
Patterns emerge.
Critical connections become visible.
Know what needs attention.
Discover hidden knowledge domains
The graph organises into communities that show how the knowledge of your organisation is really structured.
Find what holds it together
One policy connects three communities, and its verification is overdue.
Spot knowledge nobody else can reach
The test lab keeps its knowledge to itself, without a single link to the rest of the organisation.
What it finds
Four ways to see
what your organisation knows.
Critical Knowledge
Find the knowledge everything depends on.
Centrality and structural bridges show which policies, decisions and people hold several areas together, and which of them rest on a single source.
Knowledge Silos
Spot the areas nobody else can reach.
Isolated clusters show where knowledge stays inside one team or one tool and never reaches the people who need it.
Knowledge Health
Know what is still true.
Every statement carries its age, its sources and how often it was confirmed, so what is overdue for review shows up before someone relies on it.
How it works
From unstructured data
to intelligence.
Sources
Mail, documents, tickets and chats, where they already are.
Traize Layer
Reads, resolves and links what belongs together.
World Model
A living model of your organisation, kept current.
Intelligence
Graph algorithms, machine learning and AI find what matters.
The future of enterprise AI isn’t just better models,
it’s better representations of the world those models operate in.
Traize Research
The team behind Traize Intelligence
measures before it talks.
Traize Research is the team that develops Traize Intelligence: a focused research program, not a separate company. It builds on our research on ontology learning and the World Model.
The feasibility study for Traize is funded by the German Federal Ministry for Economic Affairs and Energy.
What is new in our research
- It keeps learning in operation.Research usually builds an ontology once over a fixed set of documents. Traize learns with every new mail and every new ticket.
- From all sources at once.Unstructured content, structured systems, metadata and interviews support each other.
- Built by specialized models.Not one large language model reading every document. Specialized models make the many small decisions automatically and cost efficiently. Language models only write what is new.
- With a layer for knowledge.Statements that expire, get replaced and carry permissions computed from their sources.
- It validates itself.Rules on every relation, calibrated confidence and a short interview wherever a model is unsure.
How we measure
We test the world model against a gold standard of source documents where it is settled what the model should know. We measure quality, speed, cost and behaviour as size grows. We publish results once they are measured.
- Quality
- Speed
- Cost
- Scale
Product
Explore Traize Intelligence
in your own organisation.
A read only pilot connects your existing tools, builds your World Model and shows what Traize Intelligence finds in it.
- Read only
- Your existing tools
- Hosted in Germany