No CapEx required
Delivered on a subscription basis, myCoreAI lowers barriers to action by avoiding large upfront expenditure and supporting quicker, lower-risk adoption decisions.
The myCoreAI Advantage
myCoreAI continuously optimises HVAC every 15 minutes using live building behaviour, occupancy patterns and weather conditions, typically delivering 20–35% energy savings without the need for manual intervention.
Verified savings, no-CapEx adoption, and a practical route to stronger asset and portfolio performance — without replacing plant and without disruptive retrofit programmes.
Trusted across 1,500+ buildings globally, EcoAI supports owners, operators, managing agents, and portfolio stakeholders with a disciplined path from operational improvement to stronger financial performance.
What it means in practice
myCoreAI is designed to improve day-to-day HVAC operation without adding complexity for site teams. The outcome is not only technical optimisation, but a measurable commercial improvement: lower avoidable demand, clearer budget performance, greater optimisation capacity and a repeatable model that can scale from a pilot asset to a wider portfolio.
The value extends beyond reduced utility costs. Traditional optimisation can depend on ongoing skilled engineering input to review trends, investigate recommendations, change settings and revisit performance. myCoreAI automates much of that continuous optimisation workload, helping existing engineering teams concentrate on faults, upgrades, commissioning and the work that genuinely requires their expertise.
It is not engineering replacement. It is engineering leverage.
Commercial advantages
Delivered on a subscription basis, myCoreAI lowers barriers to action by avoiding large upfront expenditure and supporting quicker, lower-risk adoption decisions.
Baselining and structured before-and-after verification create clear evidence suitable for investment committees, governance processes, and external reporting.
myCoreAI performs continuous HVAC optimisation every 15 minutes, reducing dependence on repeated manual tuning and allowing skilled engineers to focus on higher-value engineering work.
A repeatable deployment model enables phased scaling across multiple assets with consistent operating logic, evidence standards, and reporting.
Deployment logic
01
Assess baseline operation, plant context, and opportunity size using existing building and controls data.
02
Deploy against clear success measures so stakeholders can evaluate outcomes on a shared commercial basis.
03
Expand in phases with standardised reporting to maintain confidence across operations, finance, and ESG teams.
The question is no longer simply how much energy optimisation can save. It is how much engineering resource is required to deliver and sustain those savings.
Next step
Receive a data-led view of likely HVAC savings opportunities for your building or portfolio, together with a clear route to implementation.