Envista offers an analytical service that reveals the heating energy saving potential in buildings. The method is based on machine learning algorithms and benchmarking to predict the energy demand. This makes the method cost-efficient, scalable and internationally viable.
Envista wishes to increase the pace of energy efficiency improvements by creating a go-to platform for benchmarking and collaboration between property owners and energy companies in different cities and countries. We add factfulness into the strategic building energy planning, and point you in the right direction.
We offer a unique and standardised analytical service that demonstrates the heating energy saving potential of the individual building as well as the whole building stock. This method is based on primarily open national data sets and benchmarking with thousands of already mapped buildings. The analysis demonstrates which buildings have a high probability of hiding good investments in energy efficiency, and the results are shown in our different visualization tools: the easy-to-understand bubble graph, and our 3D map.