As housing providers turn to technology-led solutions to help them meet Awaab’s Law compliance, it can be hard to cut through the noise. There are a plethora of sensor manufacturers, all offering multiple options for housing data collection – but is just collecting data enough?
Not just sensors, not just data
ZapCarbon is a trusted partner in the housing sector, having worked alongside housing associations since 2012, providing services and developing technologies that are affordable, effective and easy to work with.
Their ZapIQ home intelligence system enables landlords to monitor, assess, prioritise and rapidly respond to mould risk and poor air quality in residential buildings.
Importantly, its primary focus is to help landlords move from a place of data overwhelm to insight-driven action, while optimising resources and keeping costs down.
The ZapIQ Sensors and Portal
ZapIQ’s rapid-install sensors have been developed in collaboration with housing associations to solve specific environmental problems in tenanted properties. Over 30,000 of these sensors have already been installed in UK homes, and the results have been impressive. Unique features include:
- Multi-room monitoring for more accurate data
- Rapid install, in under 4 minutes
- Significantly more affordable than others on the market
- 24/7 data: temperature, humidity and air quality
- Long battery life (10+ years)
- Uses a 5G SIM: no app or plugs required
The ZapIQ portal has been developed to help housing providers keep track of risk. With unique customisable reporting, easy data exports, automatic alerts and API access to data sets, the system enables landlords to not just detect problems, but to identify the root cause of damp and mould, prioritise the properties that are most at risk, and monitor the effectiveness of repairs.
AI to help predict, prevent, comply
The company has now introduced ZapIQ AI Mould Risk Forecasting – a new predictive technology designed to help housing providers focus on the homes that need urgent attention the most.
Through thousands of home visits, they have been able to draw powerful correlations between patterns within in-home sensor data, and what staff actually see on the ground.
From this, they 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 the ZapIQ AI system help reduce mould-remediation costs by preventing problems before they escalate. They also provide clear guidance and prioritisation for which homes are likely to experience highest rates of mould growth.
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.
Come and talk to us at Homes UK Stand Number H334
ZapCarbon is 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, its AI system gives asset teams the clarity to act faster, protect residents, and save money – whilst reducing wasted resources on unnecessary visits.
If you would like to know more about how ZapCarbon could help your organisation, get in touch with us to start the conversation.
- www.zapcarbon.com
- zapinfo(Replace this parenthesis with the @ sign)zapcarbon.com
- T: 0845 052 3682