Aurum has its own high-volume data platform based on Cassandra. The ten-second data is enriched with various new sources of information with which we build the context for energy data. Think of e.g. external sources (meteorological, energy rates) and contextual information about users. We combine this external data with individual context data from various sources, e.g. energy consumption, the number of persons in a household, the house’s date of construction, the type of house and the outside temperature. This data is stored in a centrally secured database that Aurum develops and manages itself. Via our back end, we offer group reporting, customer login to download additional information, peer-to-peer comparison, switching, temperature correction and insight into energy-rate fluctuations. At the moment, we have APIs with several third-party IoT and connected home devices. Our platform is fully scalable and set up to handle more than one million users.