NOVTRIQ captures the physical reality of your building, integrates every operational data source, and deploys an AI intelligence layer that monitors, predicts and acts — in real time, across your entire estate.
Operational data sits fragmented across BMS controllers, CAFM spreadsheets, energy portals and maintenance logs — none of it connected, none of it normalised. AI applied to fragmented data produces unreliable outputs. Before intelligence, you need integration.
Data fragmentation across BMS, CAFM, IoT and legacy systems
No single operational view — teams working from different data sets
AI implementations that fail because the data layer was never resolved
LiDAR scanning, photogrammetry and topographic survey — every asset, space and system recorded to sub-centimetre accuracy and converted into Revit / IFC-compliant BIM models.
BMS, CAFM, IoT sensors, energy metering, SCADA and sector-specific systems (EHR in healthcare, MES in manufacturing) normalised into a single unified data model.
A live, dynamic model of your facility — not a static 3D render, but a real-time operational mirror connected to every data source, updated continuously and queryable at any level of detail.
An industry-leading AI layer applied to the unified data model — delivering predictive maintenance, energy optimisation, anomaly detection, automated compliance reporting and natural language operational queries.
Detect equipment degradation before failure occurs — using sensor data correlated against your asset register in the digital twin.
Continuous AI-driven management of HVAC, lighting and electrical loads — typically reducing energy expenditure by 20–35%.
Facilities teams query building systems in plain English. Real-time answers from the operational data model, without specialist software skills.
Compliance, audit, sustainability and performance reports generated automatically from live operational data — eliminating manual compilation.
Continuous monitoring across all integrated systems. Deviations from operational baselines flagged immediately with root-cause context.
Test layout changes, equipment upgrades or occupancy shifts in the digital twin before committing capital expenditure.
Hospitals operate 24/7 with zero tolerance for system failure. NOVTRIQ integrates clinical estate data — from BMS to medical equipment registers — into a unified operational model that supports estate compliance, energy management and asset lifecycle planning.
Educational estates span multiple buildings, mixed asset ages and constrained maintenance budgets. NOVTRIQ delivers a consolidated operational picture that supports RAAC assessment, condition surveys, energy certification and planned maintenance — all from a single platform.
Unplanned downtime is the single greatest cost in industrial operations. NOVTRIQ integrates SCADA, MES, IoT sensors and the physical as-built model into a digital twin that predicts failure, optimises throughput and supports compliance with industrial safety regulations.
Data centres demand continuous optimisation of power, cooling and physical capacity. NOVTRIQ integrates DCIM, BMS and power metering into a live digital twin — providing PUE optimisation, thermal modelling and capacity planning without operational interruption.
Commercial landlords and occupiers face increasing regulatory and investor pressure to demonstrate operational sustainability. NOVTRIQ delivers the data foundation and AI-driven reporting required for EPC, BREEAM In-Use, MEES compliance and net zero pathway planning.
Managing large residential portfolios requires accurate condition data, reliable energy performance records and defensible maintenance histories. NOVTRIQ provides a consistent digital baseline across the entire portfolio — reducing disputes, supporting EWS1 assessments and enabling proactive estate management.
NOVTRIQ deploys industry-leading large language model AI as the intelligence layer of the digital twin platform. The AI does not operate on generic data — it operates on your specific building, your specific systems, your specific operational history.
LiDAR, photogrammetry, topographic survey — Revit / IFC BIM models
BMS · CAFM · IoT · SCADA · EHR · MES · energy portals — unified data model
Real-time dynamic facility model — live, queryable, sector-specific
Industry-leading AI engine — predictive, autonomous, continuously learning
Energy cost reduction through AI optimisation
Reduction in unplanned downtime via predictive maintenance
Automated compliance monitoring and alerting
Positional accuracy in digital twin model
Operational data integration and AI inference
Asset visibility across entire estate
A 3D model is a static representation — a visual record captured at a point in time. A digital twin is a live, dynamic operational mirror connected to every data source in your building — BMS, energy metering, IoT sensors, CAFM systems — and updated continuously. This real-time connection is what enables predictive intelligence and AI-driven decision-making.
A typical 50,000 m² office building can be scanned in 1–2 weeks. The process is non-disruptive — we work around normal occupancy and operations. Point cloud processing and BIM modelling take a further 4–8 weeks depending on structural complexity.
No. NOVTRIQ integrates with your existing systems — we don't replace them. We connect to your BMS, CAFM, energy portals and IoT sensors through APIs and data feeds without disrupting your operations.
The AI models are trained on your building's operational history. As more data accumulates — months and years of operational behaviour — the models become more accurate. We continuously retrain on new data to improve predictive accuracy.
We implement network segmentation, zero trust access controls, encryption in transit and at rest, and continuous security monitoring. We support DSPT, NIS2, IEC 62443 and ISO 27001 compliance. All data processing is compliant with UK GDPR and EU GDPR.
Every NOVTRIQ engagement begins with a structured assessment of your existing data landscape, systems infrastructure and operational objectives. Contact us to scope your AI & Digital Twin assessment.
Engineering the future of critical infrastructure.