Three core technical domains. Platform-grade tools for the built environment — from spatial computing to AI-powered inspection.
We design and build mixed reality applications that overlay live digital data — BIM models, sensor readings, maintenance history — directly onto the physical world. From HoloLens enterprise to no-install browser AR.
View AR/XR Projects →Custom HoloLens 2 apps for field inspection, maintenance, and training — syncing with live BIM APIs and working offline in any environment.
No-app-install AR using WebXR, image tracking, and spatial audio — accessible from any iOS or Android browser via a QR code.
Sub-centimetre spatial alignment using Azure Spatial Anchors and custom GPS + IMU fusion for large-scale outdoor deployments.
Immersive AR simulations for safety training, emergency response drills, and construction workflow rehearsal before breaking ground.
From IFC ingestion to live digital twin platforms — we build BIM systems that turn fragmented construction data into a unified, queryable source of truth. Accessible from any tool, at any scale.
View BIM Projects →Cloud-native APIs that ingest IFC, Revit, and point-cloud data, normalise it to a common schema, and expose it to any downstream system.
Live, queryable digital replicas of buildings and infrastructure — syncing real-time sensor data, maintenance records, and as-built model changes.
Merging Revit BIM models with Esri ArcGIS city data via automated IFC → CityGML → Cesium 3D Tiles pipelines for urban-scale digital twins.
Standardised BIM object libraries built to AS/NZS and ISO 19650 standards — ensuring consistent digital twin delivery across large project portfolios.
Custom-trained CV models, 3D point-cloud pipelines, and real-time defect detection systems — enabling machines to see, measure, and understand the built environment.
View CV / 3D Projects →Custom YOLO models trained on infrastructure-specific datasets — detecting cracks, corrosion, and structural anomalies in real time from camera or depth sensor feeds.
Pipelines that convert LiDAR, depth camera, or photogrammetry data into navigable 3D dashboards with semantic labelling and anomaly overlays.
CV models optimised for NVIDIA Jetson and edge hardware — running inference locally without cloud dependency in remote or hazardous environments.
End-to-end robotic inspection systems integrating sensor hardware, CV inference, and web dashboards with geo-tagged anomaly reports and maintenance scheduling.
We map your physical workflow, data landscape, constraints, and stakeholder goals before scoping deliverables, so the build starts from the real operational problem.
We define system design, data models, integrations, tech stack, and API contracts upfront, giving every stakeholder a clear view of how the platform will work.
We ship working increments, test them with real users and field conditions, then refine the product around what improves speed, clarity, and reliability.
We handle production rollout, documentation, team training, monitoring, and ongoing support, staying close after launch so the system keeps improving in use.
Tell us about your challenge. We'll tell you which of our three domains can solve it — and how fast.
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