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Knowledge Graphs for Digital Twins and AI
Knowledge Graphs for Digital Twins and AI
Connecting the dots
Connecting the dots
The ONUMA Semantic Bridge connects the ONUMA System cloudBIM to semantic models, open standards, and operational systems. It links geometry to context—buildings, spaces, assets, systems, sensors, and relationships—so information can be viewed, edited, synchronized, and understood in real time.
It creates a trusted foundation for digital twins, AI, sustainability, emergency response, and lifecycle asset management by keeping building context connected to live operational data and semantic knowledge models.
Based on the buildingSMART presentation "BIM to Smart Buildings: A practical guide to getting it right!" and the technical capabilities documented across the Onuma Semantic Bridge / Twin Accelerator Solutions (TAS) frameworks, the Onuma ecosystem provides a mature, deployable "System of Systems" architecture that directly supports and operationalizes buildingSMART’s vision.
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AI-Enhanced Operations
ZAi doesn't pretend to know your building, it actually does.
Digital Twin Core
Bringing the model to life with real-time data and spatial logic.
It's About Time
From schedules to sensors, and Digital Twins, it’s not a snapshot, it’s real-time.
BIM Foundation
Mapping spaces, assets, and systems into structured, usable data.
Digital Twin Geometry and Data
Digital Twin Geometry and Data
Our 3D ZAi view isn’t a static snapshot, it’s a live window into your entire digital twin. Geometry dynamically reshapes itself as changes occur (walls move, zones resize, new elements appear), and every system, from HVAC and lighting to security and sensors, is linked in a system-of-systems architecture. Both the visual model and its associated data update in real time, so you’re always working with an accurate, up-to-the-minute representation. Plus, an integrated AI agent lets you converse directly with the model, asking questions, issuing commands, or requesting data insights, so you can interact with and drive updates in natural language as easily as if you were talking to a human expert.
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