Our vision is to globally contribute to the real estate industry’s reduction of the carbon footprint of non-renewable kWh by 1%. The customer is able define the indoor climate. The intelligent AI-based system uses data collected onsite to teach itself how to adjust heat, cooling and ventilation depending on prevailing external conditions (such as weather or wind) and on how the specific buildings are designed, used and configured. Myrspoven’s team has developed a scalable system that, with the help of modern AI, enables a continuous and autonomous optimization of complex buildings. The core of the system is based on scalability and flexibility and is independent of the manufacturer in terms of both sensors and control systems. Myrspoven’s solution enables forecasting of both energy costs and climate, which enables control adjustments that takes into account energy tariffs, flow and return penalty fees, price cuts and daily variations.