Data that tells its own story through its connections

Unlike traditional databases that force you to know exactly what you're looking for before you start, Knowledge Graphs let you explore and discover.

Instead of storing data in isolated tables or silos, a Knowledge Graph represents information as an interconnected network of entities and relationships, creating a living map of your organization's knowledge.

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What it is

One connected map, not another silo

IntelliStream connects your structured and unstructured sources into one shared model, carries context across every department, and makes the relationships visible, so bottlenecks, patterns, and impact across systems are traceable instead of buried.

Knowledge graph of physical assets and the business functions they support Knowledge graph of physical assets and the business functions they support

Query the way you think

Ask questions, not query plans.

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Albert Einstein developed the General relativity

The data tells its own story through its connections allowing you query data the way you think about it:

“Find all documents related to this project and the people involved.
“What assets are connected to this failing component?

How it works

Two building blocks. That's the whole model.

Knowledge Graphs simple in structure consist of just two fundamental components:

Nodes: The "What": Nodes represent the entities in your data such as:

  • People: Employees, customers, suppliers, stakeholders.
  • Assets: Equipment, facilities, products, inventory.
  • Processes: Workflows, procedures, projects, task.

Each node contains properties, the specific attributes that describe it (like name, date, status, or any other relevant information).

Relationships: The "How": are the connections between nodes, carrying meaning and context:

  • A Product contains a Component
  • A Person works in marketing-department.

Relationships can also have properties (like start date, or component type), adding even more context to the data.

Why it holds up

Built for people, synced with reality.

Intuitive for Everyone

What makes Knowledge Graphs special  is their inclusive design. The visual, network-based structure makes sense to both technical and non-technical users. Anyone that can understand a relationship diagram or a family tree, can easily work with a Knowledge Graph.

Real-Time and Reliable

Knowledge Graphs are dynamic and self-synchronized. When new information enters your system or existing data changes:

  • Relationships seamlessly adjust to reflect changes as they happen.
  • Connected data syncs intelligently across the graph.
  • New nodes integrate seamlessly into existing structures.
  • Historical records remain intact while reflecting the latest information.
  • Data quality improves through relationship validation.
  • The interconnected structure exposes inconsistencies and anomalies.

Get in touch

Curious what your data looks like as a graph?

Talk to our experts → Explore the data platform