Construction and regeneration group Morgan Sindall has launched IoT-based machine-learning software for the housing sector. The Goldeni platform generates real-time analytics for social housing providers to monitor their buildings’ performance and ensure regulatory compliance.
Using IoT sensors throughout a property, Goldeni collects temperature, air pressure, light levels and carbon-dioxide data. The platform also monitors heating systems, detects for water leaks and monitors electricity and gas consumption.
Morgan Sindall Property Services is thought to be the first property maintenance provider to develop an in-house platform to consolidate and interpret data in real time from a number of commercially available IoT sensors.
Phil Copperwheat, information systems director, Morgan Sindall Property Services, said, “This is the first time we’ve launched our own bespoke, comprehensive software platform, developed entirely in-house. By using machine learning, Goldeni constantly updates and improves itself, so the more customers use Goldeni, the more useful and insightful it becomes.”