Predictive Overheating | iOpt
PREDICTIVE OVERHEATING · AWAAB'S LAW

We tell you which homes will overheat, before the heatwave

Most overheating tools look backwards. They tell you which homes sat above 25°C last weekend, after vulnerable tenants have already spent days in the heat. iOpt tell you what is going to happen, before the next heatwave. We learn how each of your homes responds to heat, then read the forecast to alert you to the ones that will overheat, up to 14 days before it happens.

~89% of episodes predicted 14 days advance warning Two summers of validation
The problem

The whole sector is looking backwards

Today · reactive

Looking back

Raw data you are left to decode
A report of what already happened
Action only once tenants complain
The alert arrives after the harm is done
With iOpt · proactive

Looking ahead

What is about to happen, ranked by risk
The specific homes most at risk, named
Clear actions before the heat lands
Time to protect the people who need it most
How it works

We learn how each home responds to heat

For every monitored property, we model the link between outdoor and indoor temperature from the last four weeks of live data. Then we apply the weather forecast to flag the homes that will cross the 25°C overheating line. It works even for a home that has never overheated, because we read the relationship, not the history.

~89%
of overheating episodes correctly predicted, validated across two summers.
14 days
of advance warning, so action lands before the heat does.
Every home
modelled individually on how it responds to outdoor heat.
30°Cforecast outdoor peak
Move the slider to a forecast for the next 14 days and watch which homes are predicted to overheat.
22°C28°C34°C
0
homes predicted to overheat

The pattern we keep seeing: top-floor flats with high-performance glazing carry the highest risk, so the right fan, open window or call reaches them first.

Predictive model, accuracy figures and rankings shown here are illustrative and anonymised. Performance is confirmed against your own stock during a pilot.

Getting started

What you are probably wondering

Just get in touch. We will work with you to understand your homes. Our non-invasive sensors can be installed by anyone in your team within minutes, and within about four weeks of live data the model has enough to begin predicting. You get a ranked picture before the next warm spell.

We model the relationship between outdoor and indoor temperature, the thermal gain, from four weeks of live readings. That tells us how a home will respond to heat it has not met yet. We read the relationship, not the history, so a first-time risk still shows up.

Validated across two summers, the model correctly predicts around 89% of overheating episodes. The model re-runs weekly and gets more confident as the season heats up.

No. Hundreds of homes can flag in a heatwave, but we rank by predicted severity so you act on the few that matter. We know most teams are working to capacity, so rather than respond to 20 complaints in the middle of a heatwave that may or may not be a genuine risk, we direct you to the homes most likely to have issues. You can then prepare those properties before the heat lands.

Our non-invasive environmental sensors can be installed by anyone in your team and take five minutes to fit. There is no disruption to the tenant, and we can even take data from sensors you have trialled with other organisations.

From October 2026, excess heat falls under Awaab's Law on the same timescales as damp and mould. Acting before a home overheats, with a dated predictive record behind you, is the strongest position you can be in if a disrepair claim ever lands.

Yes. Because it is built on the thermal relationship, we can test whether a property is likely to overheat even out of season. So when you take on stock or finish works, you know before the summer whether there is a problem to design out.

Detect. Prevent. Protect.

Want to get ahead with Awaab's Law?

Book a short walkthrough and we will run the prediction on a portfolio like yours, then show you the homes you would be acting on first, and how quickly you could be set up.

Examples shown on this page are anonymised and illustrative. The predictive model is confirmed against your own data before any work is scoped.