Switchee and Cotality have announced a new partnership aimed at helping social housing providers improve resident welfare and identify the homes most in need of energy efficiency upgrades.
The collaboration will see Switchee’s real-time property data integrated into Cotality’s Portfolio platform through a new API connection, enabling landlords to combine live in-home insights with energy performance modelling and risk analysis.
The integration is due to be rolled out initially across two mutual customers with a combined housing stock of around 45,000 properties in the coming weeks.
The firms say the partnership will help housing providers make more informed decisions around retrofit investment, identifying issues such as damp, mould and heating inefficiencies while prioritising improvements that can reduce energy bills and improve living conditions for residents.
REAL-TIME DATA
Switchee’s technology provides landlords with real-time environmental data from inside properties, while Cotality’s Portfolio platform is used to manage and model the energy efficiency of more than two million homes across the UK.
Leigh Fairbrother, Head of Sales at Switchee, says: “At Switchee, our core mission is to improve the quality of life for residents through data innovation.
“We already know what is happening inside the home in real-time. By feeding this live data directly to Cotality via our Open API, we are expanding our offering to give landlords actionable, strategic advice.
“In doing so, we are able to validate both modelled performance and resident experience. This removes the guesswork from retrofit planning, enables providers to model the impact of our smart thermostats across their portfolio and glean greater value from both platforms.”
STRATEGIC ACTION
Russell Smith (main picture, inset), Director of Energy at Cotality, adds: “This partnership is about turning real-time data into long-term strategic action through seamless technical integration.
“By ingesting Switchee’s live property insights into our Portfolio platform, we can layer that information against our robust climate, health risk and RdSAP+ modelling engines.
“It gives asset managers a single source of truth, enabling them to confidently target resources and build highly accurate, fundable schemes that permanently reduce energy bills for tenants.”
The partnership comes as social landlords face growing pressure to improve the energy efficiency of housing stock, tackle damp and mould issues and meet sustainability targets, while balancing increasingly constrained budgets.
By combining live resident data with long-term asset modelling, the firms believe landlords will be able to target investment more effectively and improve outcomes for both residents and housing providers.
