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FOR COUNCILS & HOUSING PROVIDERS

You can't inspect 22million homes. But you can identify where to look first.

Housing stock analysis of 22 million homes across England, Wales and Scotland to predict damp, mould, cold and ventilation risks.

Using open data, building physics, local weather conditions, household occupancy scenarios, and demographics, we can help you  identify the homes, streets and communities where intervention could make the greatest difference.

Data confidence isn't an afterthought.

Every home carries a 1–5 data-fill level and a separate confidence grade. Homes with material gaps can be marked 'not rated'; the fill rule and source remain visible.

Insights for England, Wales and Scotland.

We've brought EPC records, occupancy scenarios, local weather, building physics and area-level information into one property-level risk resource. We've also dealt with inconsistent identifiers, incomplete fields and errors that can otherwise undermine decisions.

01 / ASSEMBLED

22.1m homes  

EPCs, deprivation, income, age, building physics combined. Property identifiers you are familiar with for easy integration.

England, Wales and Scotland in one resource — including Scotland's different data structures.

02 / CHECKED

Find errors and gaps

Detect contradictory EPC values, unusual property records and gaps that materially affect calculations.

Confidence flags so you know what records can be trusted and why.

03 / EXPLAINED

Sources

Explainable and traceable to standards.  Updated according to their published schedule.  We can assemble and check your own data before it is integrated.

Easy integration with scheduled updates

SEE WHAT THE DATA REVEALS

A briefing for every Council.

Explore the briefing report below. It connects modelled damp and mould risk with heating affordability, local neighbourhoods, tenure, insulation, ventilation scenarios, and more. It sets out the property groups worth investigating. 

 

Request your own report and get the address level detail that goes with the briefing.

Put our predictions to the test.

Already have historic damp and mould complaints or inspections?

 

Let's see how our data compares with those records. â€‹It's a practical way to evaluate matching, confidence and predictive usefulness before committing to wider use.

50

Known homes. Existing predictions. One clear comparison.
 

  1. Agree an appropriate sample and safe sharing route

  2. Match records using UPRNs and verified addresses

  3. Compare existing risk scores with known outcomes

  4. Review accuracy, gaps and the next useful action

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