Geometry is the real digital asset
Most engineering value is locked inside geometry, elements, systems, and relationships.
Geometry-native knowledge graph
Turn 3D models into AI-readable decision systems.
Digital Brain transforms design and engineering models into structured graphs, enabling traceable decisions, retained knowledge, and human-AI co-reasoning.
AI still cannot read the real asset.
Most AI tools connect to software. Digital Brain connects to the actual system: geometry, relationships, decisions, and knowledge.
APIs are not enough
Tool connections enable actions, but they do not create system-level understanding.
Graphs are the right abstraction
Elements, dependencies, constraints, and intent are naturally relational.
Decision tracking is missing
Design decisions are disconnected from the elements and outcomes they influence.
Tacit knowledge is lost
Critical reasoning disappears in meetings, chats, and people's heads.
The Digital Brain Framework
Step 1
Engine
Geometry -> Graph
Convert BIM, CAD, and engineering models into structured graph representations.
Step 2
Product
Digital Brain
Add decision tracking, knowledge capture, AI agents, and project memory.
Step 3
Vision
Human-AI Co-Reasoning
Humans and AI operate on the same structured language of systems, relationships, and intent.
If humans and AI are to reason together, they must operate on the same structured representation of reality.
What Digital Brain enables
Graph Foundation
Convert 3D models into nodes, edges, attributes, and relationships.
Decision Memory
Link decisions to geometry, systems, people, and downstream impact.
Knowledge Capture
Turn design intent and tacit knowledge into structured project memory.
AI Co-Reasoning
Let AI agents reason across geometry, constraints, and trade-offs.
Impact Mapping
Track how people, decisions, and design changes influence outcomes.
How it works
01
Translate
Upload or connect BIM, CAD, or engineering models.
02
Structure
Geometry, metadata, relationships, and decisions become graph data.
03
Reason
AI agents and humans query, analyse, and co-reason over the system.
04
Learn
Decisions and tacit knowledge become part of the company's memory.
From research prototype to company-scale Digital Brain
Prototype environment
This prototype demonstrates how geometry, element data, and design intent can become part of a structured reasoning environment. Digital Brain extends this logic into company-scale decision systems.
The minds behind the Digital Brain
Digital Brain is developed as a collaboration between system architecture, research credibility, AI strategy, business growth, and execution capability.
Build a Digital Brain for your company.
We are opening selected pilot discussions with organisations working across complex design, engineering, and decision-heavy workflows.
Start the conversation
Tell us what system you want to make AI-readable.