One intelligent model for your entire building
Connect disparate building systems within a real-time semantic model and automatically transform operational data into insights your team can act on.
From fragmented data to operational intelligence.
Edge Semantics creates a unified virtual building model by applying semantic metadata to systems, equipment and operational data.
Machine learning continuously analyses that model to identify patterns, faults and degradation—automatically presenting the results through dynamic dashboards, reports and visualisations.
Model
Analyse
Visualise
Predict
Give your building data context.
Raw operational data tells you what an individual point is doing.
Semantic data provides context—what the equipment is, where it sits, what it relates to and how it connects to the wider building.
Edge Semantics uses these relationships to create a structured digital representation of building operations.
Analyse more than a human team ever could.
Buildings operate continuously and generate enormous volumes of operational data.
Edge Semantics automatically processes that information, using machine learning to identify patterns, anomalies, faults and signs of equipment degradation.
Instead of searching through thousands of data points, your team sees where attention is required.
See the insight.
Not the complexity
behind it.
Dynamic visualisations generated on demand, powered by real-time data updates.
See problems developing before they become failures.
Continuous analysis helps identify abnormal performance and equipment degradation earlier.
That gives technical teams the opportunity to intervene proactively—moving building operations away from reactive troubleshooting and toward predictive maintenance.
A common language for building data.
Edge Semantics uses ontologies and semantic tagging to bring disparate building systems and operational data into a consistent semantic framework.
Using open standards including Project Haystack and Brick Schema, relationships between buildings, spaces, systems, equipment and operational data can be clearly defined - creating a unified data layer that makes building information easier to analyse, visualise and use across different applications.
An open-source framework for modelling IoT and building data using semantic tags and relationships.
An open-source ontology designed to map building assets and the relationships between them.
Your building already has the data.
Let’s make it useful.
Discover how Edge Semantics can transform complex building operations into clear, actionable intelligence.