
Machine learning models predict energy demand patterns with high accuracy, enabling proactive procurement and cost reduction.
Continuous AI-driven adjustment of all building systems — HVAC, lighting, lifts — to minimise consumption without compromising comfort.
AI identifies anomalies and equipment degradation before they become failures, reducing downtime and maintenance costs.
Granular dashboards and automated reports for energy managers, sustainability teams and executive stakeholders.
Virtual building models simulate and test optimisation strategies before deployment, maximising confidence and outcomes.
Live emissions monitoring, Scope 1 & 2 reporting, and progress tracking against net zero and Vision 2030 targets.
The Aethon Energy AI platform connects every data point in your building — from individual sensors to enterprise dashboards — creating a continuous loop of measurement, analysis and optimisation.
IoT Sensors & Meters
Real-time data collection across all building systems and energy assets.
Edge Computing
On-site processing for low-latency control and local resilience.
Cloud AI Platform
Centralised intelligence for optimisation, analytics and reporting.
BMS Integration
Seamless connection to existing building management systems.
API & Dashboards
Open APIs and intuitive dashboards for operators and managers.
15–35%
Energy Cost Reduction
20–40%
Carbon Emission Reduction
Real-Time
Visibility Across All Systems
Automated
ESG & Sustainability Reporting
Predictive
Maintenance & Fault Detection
Supports
Vision 2030 & Net Zero Goals
Smarter Energy. Lower Costs. Better Buildings.
Reduce energy spend by 15–35% through continuous AI-driven optimisation.
Cut Scope 1 & 2 emissions and meet ESG and net zero commitments.
Predictive maintenance and fault detection prevent costly failures.
Open architecture that integrates with new technologies as they emerge.
Talk to our Energy AI team about deploying intelligent energy management across your building portfolio.