What we do
Maesin, an AI-powered inspection service, aids social housing providers in securing grants, managing supply chains, and promoting resident participation in retrofits.
Through our network of trusted surveyors, we collect data using infrared cameras. Our computer vision algorithms analyse this data, providing clear insights into the property’s energy efficiency.
These insights are stored in a secure, searchable database that can integrate with other asset management systems.
What we can help you with
Maesin addresses the data challenges faced by social housing landlords aiming to enhance energy efficiency, combat fuel poverty, and improve tenant wellbeing through retrofit initiatives. Landlords require precise data on their property conditions for grant applications. Simply knowing Energy Performance Certificates (EPCs) or modelling energy usage isn’t enough for successful retrofits. Without timely and accurate information, landlords may implement inappropriate measures, leading to delays and cost overruns, as well as damage to the building stock and negative impacts on the health and comfort of residents.
Our solution
Maesin offers an AI-powered solution for stock condition monitoring that is efficient, quick, non-disruptive, and tailored to your needs.
- Efficient: Our solution automates the process of interpreting thermal images using our proprietary software algorithms, making it cost-effective.
- Quick: Our software instantly processes the data, reducing the waiting period by up to a month.
- Non-disruptive: Our system collects data from the outside, eliminating the need for interior access or tenant involvement.
- Tailored to your needs: Maesin focuses on qualitative evaluation of the building fabric and defect detection, providing clear, actionable insights for housing associations.
Benefits of working with us
By conducting thorough surveys of a property’s condition before retrofitting, we can cut retrofit costs by up to 70%. This is achieved by preventing delays and errors, and by addressing any existing damage that could affect the efficiency of the energy upgrades.