10ⁿ Tech builds real-time operational digital twins of buildings – a live 3D model of your facility fused with operational data from HVAC, energy, lighting, occupancy and environmental systems. Monitor, optimise and showcase building performance from one interface, with AI-driven maintenance foresight and sustainability transparency aligned to net-zero and ESG goals.
What is an operational building digital twin?
A static 3D model shows what a building looks like. An operational digital twin shows what it is doing, right now. It binds the building’s live telemetry – temperature, energy draw, air quality, occupancy, equipment status – to a navigable 3D model, then layers AI on top to predict faults, optimise energy and flag anomalies before they become incidents. Facilities, ICT, sustainability and executive teams each see the building through the lens that matters to them.
The platform
Integration without middleware lock-in
Many building management systems sit behind proprietary middleware you can’t get inside. Our integration doesn’t depend on it. Where middleware access is restricted, we use secure network-level discovery – active and passive scanning – to map every device that speaks an open protocol (BACnet/IP, Modbus TCP, M-Bus), then build direct communication bridges with per-device polling. The twin runs fully and in real time without relying on the middleware API, so a closed BMS never blocks the project.
The AI intelligence layer
- Predictive maintenance – machine-learning models on HVAC and sensor time-series spot degradation before failure, cutting unplanned downtime and extending equipment life.
- Energy optimisation – AI weighs occupancy, temperature and weather to recommend setpoints and control strategies that save energy without sacrificing comfort.
- Anomaly detection – statistical baselining and unsupervised learning flag unusual readings that signal hidden faults, surfaced as dashboard alerts.
- Occupancy and usage – access, motion and environmental data build usage heatmaps for space optimisation and smarter ventilation/lighting scheduling.
Every AI insight is logged and reviewable, and no control action runs autonomously without human validation – optional automation can be toggled on where you want it.
Sustainability and ESG
The twin tracks emissions and energy in real time and produces GRI/LEED-aligned, net-zero-ready reporting – turning sustainability from an annual audit into a live operational metric you can act on and showcase.
Works inside Microsoft 365
Alerts and faults trigger Outlook email and Teams messages with device, severity, timestamp and recommended action. Real-time and historical metrics surface in Power BI dashboards embedded in SharePoint, and periodic reports (energy summaries, fault logs) are auto-generated into a secure, role-controlled SharePoint library – so insight lands in the tools your team already uses.
Hosting and access
Hybrid by design: cloud-native hosting in a UAE region with optional on-premises modules. Access is cross-device – a lightweight web twin for broad stakeholder monitoring, a high-fidelity desktop app for engineering analysis, and a field-focused mobile/tablet app with push alerts and room-level actions. An offline fallback mode keeps a read-only view available in low-connectivity conditions.
How we deliver it
- Discovery and system mapping – stakeholder workshops, an audit of existing sensors/HVAC/ICT, network scanning and device mapping, data-source validation.
- Model and interface design – the 3D twin built from your Revit models, UX sprints with stakeholders, dashboard prototyping and AI-layer design.
- Integration and intelligence – connect to live systems, configure alert logic and AI insights, map sustainability data.
- Testing and handover – user acceptance testing with your teams, documentation, training and go-live with post-launch support.
Where it fits
- Flagship and sustainability buildings – showcase net-zero performance to stakeholders and visitors.
- Corporate HQs and campuses – one operational picture across facilities, ICT and sustainability.
- Government and institutional facilities – secure, compliant, role-based building intelligence.
- Portfolio operators – an extensible framework that can scale from one building to a district-wide view.
Why 10ⁿ Tech
We deliver the full stack – the 3D twin, the protocol-level integration, the AI layer, the dashboards and the secure hosting – as a single accountable partner, and we’ve delivered real-time visualisation and integration in environments where the middleware was off-limits. Our digital-twin work spans government and industrial projects across the GCC, and the same Unreal Engine and visualisation expertise behind our industrial metaverse and digital twin solutions carries straight into your building.
Frequently asked questions
What is an operational digital twin of a building?
A live 3D model of a building bound to its real-time operational data (HVAC, energy, occupancy, environment), with AI for predictive maintenance, energy optimisation and anomaly detection, and role-based dashboards for facilities, ICT, sustainability and executive teams.
What if our BMS middleware is closed?
No problem. We integrate at the protocol layer (BACnet/IP, Modbus TCP, M-Bus) using secure network discovery and direct device bridges, so the twin works in real time without depending on proprietary middleware APIs.
Does it help with net-zero and ESG?
Yes. It tracks emissions and energy live and produces GRI/LEED-aligned, net-zero-ready reporting, so sustainability becomes an operational metric rather than an annual exercise.
Can our team use their existing tools?
Yes. Alerts and reports flow into Outlook, Teams, Power BI and SharePoint, so the twin works inside your Microsoft 365 environment.
Where is it hosted?
Hybrid – cloud-native in a UAE region with optional on-premises modules – with role-based access, encryption, audit trails and UAE PDPL / GDPR compliance.
Make your building observable
Turn your building from a set of disconnected systems into one live, intelligent twin. Talk to us or explore the full products portfolio.
