Three core technical domains. Platform-grade tools for the built environment — spatial computing, digital twins, and AI-powered inspection for infrastructure across Australia and worldwide.
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.
Enterprise augmented and extended reality (AR/XR) development involves building software applications that overlay digital information onto the physical world, typically for industrial, infrastructure, or field operations use cases. Unlike consumer AR (phone apps, filters), enterprise AR runs on dedicated hardware such as Microsoft HoloLens 2 or in browsers via the WebXR standard. DARKSPEDE builds AR/XR applications for infrastructure operators — including mixed-reality inspection tools, spatial anchor positioning systems, and browser-based no-install AR experiences that work on standard devices. Clients include government transport agencies and university research teams requiring hands-free data access in the field.
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.
A Building Information Modelling (BIM) digital twin platform is a live, queryable digital replica of a physical building or infrastructure asset, updated in real time from sensor data, inspection records, and asset management systems. Unlike static BIM models (which are drawings and specifications), a digital twin is an operational system used for ongoing maintenance, compliance, and decision-making. DARKSPEDE builds cloud-native BIM governance platforms and digital twin systems compliant with ISO 19650 and Australian AS/NZS standards. Delivered platforms include the Transport for NSW BIM Asset Library, standardising data across 500+ infrastructure projects.
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.
Computer vision for infrastructure inspection uses trained machine learning models to automatically detect defects, measure asset conditions, and classify observations from images or video captured by cameras or drones — replacing or augmenting manual visual inspection. DARKSPEDE builds custom-trained detection models (using YOLOv8 and PyTorch), 3D point-cloud processing pipelines from lidar scans, and edge-deployed systems that run on NVIDIA Jetson hardware directly at the inspection site without cloud connectivity. Applications include pipeline defect detection, road surface analysis, and automated robotic inspection platforms for government and infrastructure operators.
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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