Commercial Buildings
Typical commercial buildings waste 20–30% of their energy without anyone knowing where it goes. Ambient Context delivers circuit-level visibility and deterministic control to identify that waste and act on it automatically.
The Problem
These challenges erode margin every month. Most facility teams lack the data to quantify them and the tools to address them.
20–30% of commercial building energy is wasted on loads running when they should not. Without circuit-level data, it stays invisible.
Emergency repairs cost 3–5× planned maintenance. Reactive approaches drive unplanned downtime and tenant disruption.
Without real-time load visibility, demand spikes drive charges that can represent 30–50% of the electricity bill.
Energy disclosure requirements are expanding. Manual data collection does not scale across portfolios.
Platform
Ambient Context installs at the main or sub-distribution board. Machine learning identifies every load by its electrical signature — without per-device sensors — and the platform controls flexible loads within engineered bounds.
All processing remains on site. Operational data does not leave the premises. Existing BMS and automation systems integrate via open protocols.
Projected Outcomes
Ranges reflect scenario modelling. Actuals depend on building type, size, existing systems, and operational patterns — quantified during pilot.
Deployment
Survey systems and baseline opportunities for savings and reliability improvement.
Connect at the circuit level and integrate with the existing BMS. No equipment replacement.
Identify loads by electrical signature and establish operational, occupancy, and asset-health baselines.
Automated scheduling, demand management, and predictive maintenance from day one.
Energy Optimisation and Demand Response
HVAC, lighting, and process loads scheduled against occupancy and time-of-use pricing.
Real-time monitoring with predictive load shifting to avoid demand spikes and associated charges.
Prepare for programme participation with automated response and grid-interaction support.
Predictive Maintenance and Digital Twin
Identify electrical signature changes indicating degradation, typically weeks before failure.
Continuous health scoring for HVAC, pumps, motors, and critical systems with prioritised maintenance.
Every device identified by its electrical signature without individual sensors.
Integrations
Open protocols, read and write integration. No equipment replacement required.
Request a building assessment tailored to your facility, systems, and operational patterns.