Hi there, Find out how Mobysoft's Damp & Mould module can help your organisation with compliance around Awaab's Law.

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Suzy
Produced by Suzy Thomas
Repairs Success Director
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How our Damp and Mould Module helps landlords

Assurance

Assurance that processes are followed

D&M History

Provides D&M history and chain for every home

Unreported D&M

Identifies properties with unreported D&M

No cases missed

Ensures no cases are missed

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Why is Mobysoft's Damp & Mould module unique

Artificial Intelligence

Our D&M module uses the latest Artificial Intelligence (AI) and Machine Learning (ML) technology to mine, analyse and interpret repairs data. From which it makes recommendations and predictions.

Scale and a Unique Dataset

Our solution has the most extensive ‘labelled data set’ for repairs, this has been built over three years, and continues to grow. 

Accuracy & Precision

Our D&M module is underpinned by three trained AI models. The precision of the recommendations is 99%, and cases do not get missed. The models can also identify properties with D&M where the cases have not been reported. 

THE ERA OF DOING MORE WITH LESS

your organisation leaders need solutions that make teams delivering services more productive

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Efficiency

Platforms to remove congnitive friction of multiple systems
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Productivity

Deliver more for customers
Inflation

Innovation

Modern technology incorporating AI and ML
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Transformation

Digitalise your revenue and repairs teams
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Predictability

Make sense of unstructured data and forecast accurately
DAMP & MOULD MODULE

Some benefits of Mobysoft's Damp & Mould module

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Compliance

The dashboard supports Awaab’s Law by tracking completion metrics for inspections, repairs and emergency jobs.

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Evidence based reporting

Provides evidence-based reporting to support decision-making and regulatory compliance. 

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Case Insights

Case insights with visibility into all linked jobs and exportable job-level data

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Geographical mapping

Geographical mapping by postal area and postcode to identify case clusters and trends

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Full repair history

Integrated access to full repair history and direct navigation to RepairSense Property Case Management.

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AI Prevention

AI analyses the last three years of an organisation's damp and mould data. It is able to forecast potential problems, so that landlords can carry out preventative works.

CUSTOMER STORIES

“In June 2024, the percentage of Greatwell’s households with cases of damp and mould was 16%. In 2025 the rate dropped significantly to just 2% thanks to RepairSense's Damp & Mould.”

“We have referred to RepairSense's Damp & Mould module in our response to the Regulator. It provides great insight for the team. We have become more proactive in tackling the issues that cause
damp and mould. It is critical in helping us monitor to ensure resolution.”

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To find out more About our Damp & Mould Module please complete this short form and we will be in touch