We’re extremely excited to announce the launch of ZapIQ AI Mould Risk Forecasting – our new predictive technology designed to help housing providers focus on the homes that need urgent attention the most.
Our staff have visited and surveyed thousands of homes, and we have now been able to draw powerful correlations between patterns within in-home sensor data, and what we actually see on the ground.
From this we have built a machine-learning system that can accurately predict mould prevalence and growth rates. The system uses data from over 15,000 real homes, and has been rigorously verified by university researchers.
The outputs from our AI system help reduce mould-remediation costs by preventing problems before they escalate. We also provide clear guidance and prioritisation for which homes are likely to experience highest rates of mould growth. As ever, with property maintenance, a stitch in time saves nine.
With over 85% prediction accuracy in its current form, it’s already proving to be a game changer for compliance, efficiency, and resident well-being. Moreover, it will continue to improve in accuracy and insight as we feed in more data over time.
We are currently piloting the system with several housing organisations, refining the approach to deliver maximum value in real-world conditions. By identifying high-risk cases early, our AI system gives asset teams the clarity to act faster, protect residents, and save money – whilst reducing wasted resources on unnecessary visits.
We believe this is the biggest game-changer in the sector for years.
If you would like to know more about how we could help your organisation, get in touch with us to start the conversation.
