What we do
Warmscore, our portable, flexible toolset, gives uniquely high quality data on each home - perfectly fitted to the needs of landlords and their supply chain in retrofit projects. Landlords can move the toolset around to rapidly collect a full range of measurements on the state of their estate – heat loss, condensation risk and ventilation rates for each home – and details on heating and comfort for tenants.
What we can help you with
Upgrading housing retrofit and repair needs good quality data to identify the best homes for upgrades, forecast improvement potential and confirm results of projects.
But landlords are struggling to find ways to collect this data at scale, when it’s needed and to turn it into useful measurements.
By creating a toolset that can be used alongside traditional surveys and site visits, and redeployed after a few weeks of testing, Purrmetrix are helping landlords to rapidly assess their assets, before and after work is done, for stock selection, retrofit design, fault finding and monitoring the success of new systems.
Our solution
Warmscore is an IoT toolset that can be deployed in most homes in less than 30 minutes, with no specialist tools or qualification required. Measuring conditions from several points, with uniquely high time resolution, we produce detailed insights into the state of the home; its heatloss, condensation risk, ventilation rate and comfort performance.
The tool can be deployed when and where you need it, and can give results after a few weeks of data gathering. It can then be moved to another home, or remain to provide long term insights into performance of the home and heating systems.
Benefits of working with us
On site monitoring provides the measurements needed for quality retrofit projects; ensuring improvements are targeted, quantifying where upgrades work, and clarifying why others don’t. With better targeting and delivery of retrofit we ensure that tenants get lower bills and landlords better returns from reduced voids, rent arrears and disrepair claims.