Proof that optimisation is delivering results

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.

Commercial office building exterior

Measured performance example

Measured AI on vs AI off performance

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.

Measured AI on vs AI off building optimisation graph showing HVAC electricity and heat savings delivered by EcoAI.
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

Further sector evidence

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.

  • 15.4% electricity saving
  • 29% gas saving
  • 710 MWh energy saved

Established corporate reference

Calyx Nottingham

A corporate-office deployment showing sustained savings over two reporting years while leveraging the installed BMS.

  • 23.5% electricity saving in year two
  • 46.9% gas saving in year two
  • £104k total saving over two years

Retail / Mixed-Use

G City Europe — Atrium Flora

A 39,800 m² retail and office property with different indoor-climate requirements across common and tenant areas.

  • 25% electricity saving in common areas
  • 11% electricity saving in tenant areas
  • 15% gas saving

Hospitality / Mixed-Use

European Hotel & Office Building

A 25,553 m² hotel and office building combining guest-comfort requirements with office operation.

  • 16.2% total building energy saving
  • €30.6k reported annual saving
  • 16% more even 24-hour indoor climate

HVAC savings in practice

How HVAC energy savings are delivered

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.

How savings are verified

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.

Electricity savings scatter graph showing AI off and EcoAI active performance comparison.
Orange = AI off. Blue = EcoAI active. Lower points = lower daily electricity use.

Proof brief

Download supporting evidence

Use our concise proof brief for stakeholder review, investment discussions, and internal business-case conversations.

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