Morgan Sindall launches machine learning software platform for social housing sector

Construction and regeneration group Morgan Sindall Group plc will this week launch a technology platform that uses machine learning to provide social housing landlords and tenants with real-time, actionable insights to help them ensure their properties are healthy, legally compliant and more energy-efficient.

Morgan Sindall launches machine learning software platform for social housing sector

Using discreet interconnected sensors positioned throughout a home, the platform collects data on the internal environmental conditions in a property, including temperature, air pressure, light levels, humidity and carbon dioxide. goldeni also monitors heating systems, detects for water leaks and monitors electricity and gas consumption.

The goldeni platform has been developed by data scientists working for Morgan Sindall Property Services, the property maintenance division of the Morgan Sindall Group, which currently looks after 200,000 homes on behalf of social landlords across the UK.



The new platform will, for example, monitor ventilation and recommend opening more windows to ensure homes are less susceptible to mould. It can identify water leaks in real-time, and spot when a boiler needs to be serviced, so that preventative action can be taken before a problem escalates. By tracking which homes are using central heating too often or too little, goldeni can also help users identify properties that are in fuel poverty or requiring additional insulation.

The platform also aims to play a crucial role in the path to net-zero. goldeni provides practical recommendations in real-time for how to make properties more energy efficient, from using heating more effectively throughout the day, to suggestions on the best time to run energy-hungry appliances or improve insulation.

John Morgan, chief executive of the Morgan Sindall Group, said: “Morgan Sindall is committed to developing and implementing innovations for our customers. The launch of goldeni, our first technological innovation for the sector, represents an important milestone not just for Morgan Sindall but also for social housing as a whole.

“By giving clues to potential issues within homes even before they occur, it can help those living in social housing have healthier, safer, more energy efficient homes, as well as saving social housing providers costs.”



“While we’re initially focusing on social housing, its ability to provide an instant overview of a building’s health in real time means that goldeni would just be as useful for commercial and private residential property owners as well, and that’s something we’ll be looking to roll out in the future.”

Phil Copperwheat, information systems director of Morgan Sindall Property Services, added: “This is an important moment for Morgan Sindall, as it’s the first time we’ve launched a bespoke, comprehensive software platform, developed entirely in-house.

“By using machine learning, we’ve ensured the platform constantly updates and improves itself, so the more customers use goldeni the more useful and insightful it will be. We’ve worked hard to make the interface as simple and intuitive as possible, so that customers can start to benefit from it straight away.”

Alan Hayward, managing director of Morgan Sindall Property Services, commented: “For Morgan Sindall Property Services our focus is ensuring our data insight and innovations provide positive outcomes for customers and communities, improving their living environment and quality of life.



“goldeni will allow us to take a more proactive and preventative approach to reducing repair demand by flagging potential issues in real-time and helping us spot potential indicators of vulnerability such as fuel poverty.”

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