HVAC AI Optimization

Smarter buildings. Lower emissions.

Myrspoven turns HVAC data into live control decisions, helping operators cut energy waste, flatten demand peaks, and hold comfort without replacing existing BMS infrastructure.

20%
typical HVAC energy savings achieved through AI-driven optimization.
13
countries with active Myrspoven deployments.
ISO 27001
security, compliance, and certification
View Trust Center

Predictive control. Demand response. Comfort-first optimization.

Trusted by industry leaders

Vanta Energy
SISAB
Corem
Fabege
Hemsö
Revelop
Skandia Fastigheter
Castellum
AMF
Regio
CPI Property Group
Catella
Recorde
Novier
Klépierre
Alma Property Partners
SEB Trygg Liv
Platzer
G City Europe
Vacse
Prime Holdings
University of St Andrews
Atrium Ljungberg
Mint Investments
Akademiska Hus
Vanta Energy
SISAB
Corem
Fabege
Hemsö
Revelop
Skandia Fastigheter
Castellum
AMF
Regio
CPI Property Group
Catella
Recorde
Novier
Klépierre
Alma Property Partners
SEB Trygg Liv
Platzer
G City Europe
Vacse
Prime Holdings
University of St Andrews
Atrium Ljungberg
Mint Investments
Akademiska Hus

myCoreAI

Intelligence, built in.

myCoreAI makes thousands of decisions per building, per day, matching HVAC load to actual demand.

AI status
HVAC energy100 kWTypical oversupply
ENERGY FLOWIndoor comfortMaintainedHeat losses25 kWOver-supply15 kWSwitch AI ON to reduce waste streams
Add-on

myLoadShift

How it works
Shift energy. Keep comfort.
myLoadShift quietly moves heating & cooling to the cheapest hours of the day. The building stays exactly as comfortable.
AI status
PEAK PRICEHIGH PRICELOW PRICEIndoor comfort held · 21°C00:0006121824
Energy useBefore AIElectricity price
Shift energy. Keep comfort.

Heating and cooling move away from peak-price hours while indoor comfort stays stable.

PEAK PRICEcomfort 21CHIGH PRICELOW PRICE0006121824
Energy useBefore AIElectricity price

Built for measurable outcomes

1,500+
Buildings connected
20%
Typical savings
40%
Of global CO2 emissions come from buildings
Solutions

Manage peak demand, reduce emissions

Our AI-driven smart HVAC control enables buildings to become active contributors, mitigating peaks and addressing energy capacity challenges.

Energy optimization

myCoreAI reads building data and external inputs like weather and tariffs, then creates a building-specific optimization strategy. Set-points are updated every 15 minutes to maximize savings while maintaining comfort.

25%
Up to electricity savings
20%
Up to heating savings
20%
Up to cooling savings
Even a building with a well optimized BMS setting can work better. Through on-time collecting and evaluation data from the premises, AI performs minor tweaks that do not negatively influence tenant comfort, but generates savings.

Martin Šrédl

Property Manager, Mint Investments

1/5
Martin Šrédl — Property Manager, Mint Investments
FAQ

Frequently asked questions

Get the answers you need below.
If you can't find them, reach out to us.

No. Myrspoven is designed to work with your existing HVAC infrastructure. In most cases, we integrate directly with your building management system (BMS) and optimize the equipment already in place.

Implementation is typically completed within a few weeks, depending on the size and complexity of the building. Our team manages the process to ensure minimal disruption to daily operations.

Our AI continuously balances energy efficiency with occupant comfort. By adapting HVAC operation to real-time conditions and demand, Myrspoven helps maintain stable indoor temperatures while reducing unnecessary energy use.

Myrspoven integrates with a wide range of building management and HVAC systems. Our team evaluates your existing setup and works with you to ensure a smooth integration process.

Contact

Ready to optimize your building operations?

Book a walkthrough to see how Myrspoven can deliver faster payback, better comfort, and lower emissions across your portfolio.

Newsletter

Take flight with Myrspoven

Energy insights, product updates, and industry trends delivered to your inbox.

Please select your preferred language first