Less time diagnosing. More time improving buildings.
Automate labour-intensive system interrogation and give your engineers immediate operational intelligence — so they can focus on rectification, optimisation and higher-value client outcomes.
Your engineers shouldn’t spend their time searching for faults.
Traditional building services require engineers to spend significant time interrogating systems simply to understand operational status.
That approach consumes skilled labour, limits service capacity and leaves less time for the work clients actually value.
Edge Semantics automates much of that diagnostic workload.
Technology finds the issues. Your team solves them.
Create structure from complex building data.
Edge Semantics connects building systems and equipment through industry-standard semantic metadata, creating a consistent virtual building model that provides the foundation for automated analytics, reporting and visualisation turning emergency repairs into planned maintenance and reducing avoidable disruption.
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.
Let the software do the searching.
Instead of manually reviewing thousands of individual data points, Edge Semantics continuously analyses building operations to identify faults, anomalies and equipment degradation.
Engineers arrive with greater context and a clearer understanding of where their attention is required.
Analyse
Continuously process operational data.
Identify
Surface faults, anomalies and degradation.
Rectify
Direct engineers toward high-value site work.
Service buildings based on what they need—not just a schedule.
Preventative maintenance tells engineers when to check equipment.
Predictive intelligence tells them where attention is actually required.
By continuously analysing operational performance, Edge Semantics helps identify developing problems earlier, allowing your team to intervene proactively.
Manage more buildings with the team you already have.
Reducing manual diagnostic work allows highly skilled engineers to spend more time on rectification and optimisation.
That means your existing workforce can deliver greater value across more sites—without service capacity being constrained by repetitive system interrogation.
Reduce time spent manually interrogating systems.
Identify degradation before it becomes failure.
Direct resources toward the issues that matter.
Keep critical building systems performing as intended.
One intelligence layer across disparate building systems.
Edge Semantics creates a consistent semantic layer across building systems and equipment, helping integrators overcome fragmented data structures and create a stronger foundation for analytics and automation.
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.