myCoreAI continuously optimises HVAC every 15 minutes using live building behaviour, occupancy patterns and weather conditions, typically reducing HVAC electricity consumption by 20–35% without the need for manual intervention.
myCoreAI is deployed across around 2,000 buildings in 13 countries, with EcoAI providing UK delivery, implementation and client support. EcoAI provides transparent, auditable evidence so building teams can evaluate real outcomes with confidence.
This monthly profile shows weather-normalised AI off and AI on performance for HVAC electricity and heat in a live occupied building. The gap between the lines shows the savings delivered by continuous EcoAI optimisation while normal building operation is maintained.
21.1% HVAC electricity reduction
9.2% heat reduction
158,114 kWh measured saving
Approx. £14.4k measured gross benefit
Approx. £10.4k net benefit after c£4k annual subscription
Results shown are from a live occupied building over an April 2025 to April 2026 reporting period. Individual building results vary depending on plant, operating hours, controls strategy and existing performance.
Case study summaries
Live-building outcomes
University of St Andrews — Scottish Oceans Institute
University / Higher Education
21.1% HVAC electricity reduction
9.2% heat reduction
158 MWh measured energy saving
University of St Andrews — financial performance
A compelling business case. A stronger measured outcome.
Before implementation at the Scottish Oceans Institute (Gatty), EcoAI established a defined commercial proposition based on the building's expected energy-saving potential.
Following implementation and the establishment of fuller HVAC control, measured operational performance indicated a financial benefit beyond the original expectation.
£12.5kOriginal expected annual gross financial savings at 2024 modelling rates
£19.4kLater annualised gross financial savings at later reported energy prices
£6.9kHeadline annualised value difference, including energy-price changes
At St Andrews, the expected energy-saving benefit was established before implementation. Subsequent measured performance demonstrated additional value beyond the original commercial proposition.
On a comparable energy-price basis, the original forecast reprices to approximately £15.3k per year, with the later annualised position approximately £4.1k per year, or 27%, above that repriced forecast.
Later savings are annualised from measured operational performance following fuller HVAC control, rather than a completed 12-month post-control result. Actual outcomes vary by building.
Of the £6.9k increase in annualised financial value, approximately £4.1k represents additional savings at comparable energy prices. The remaining difference reflects changes in energy prices.
Successful optimisation across different building types
Additional projects demonstrate the breadth of the optimisation approach across commercial, corporate, retail and hospitality environments, while working through existing controls infrastructure.
Established commercial reference
One Trinity Gardens
A successful multi-let office deployment demonstrating measurable electricity and gas savings through the existing BMS.
Continuous optimisation reduces unnecessary HVAC operation while maintaining comfort and appropriate ventilation conditions. The BMS remains the control system, while EcoAI helps reduce avoidable airflow and conditioning demand when conditions allow — and lets output increase again when the building needs it.
1
Reduce unnecessary airflow
When indoor temperature is stable and CO₂ remains low, airflow can operate below the reference level.
2
Reduce fan and conditioning demand
Lower airflow reduces fan demand and the volume of air that needs to be heated or cooled.
3
Keep comfort as the constraint
Airflow rises again when building demand, temperature or ventilation requirements change.
In a reviewed 30-day AHU2 example at Gatty Marine, optimised supply airflow was 27% lower than the reference signal and extract airflow was 22% lower, while average indoor temperature remained at 22.18°C and average CO₂ remained low at 457 ppm.
Example shown is based on AHU2 dashboard data for the reviewed period and should not be read as a whole-building annual saving.
EcoAI compares building performance against a weather-normalised baseline, including periods with AI optimisation active and inactive. This helps show whether lower energy use is being achieved under comparable external conditions, rather than simply because of changes in weather.
Orange = AI off. Blue = EcoAI active. Lower points = lower daily electricity use.
