Use Ambisense Housing to optimise your resources for improved building management across your housing portfolio.

We combine IoT hardware, our expertise in built environment monitoring and our smart Ambilytics platform, to move beyond simply displaying your data so you can take the most appropriate action.

AmbiAir for housing is a rapidly scalable, cost-effective way to get eyes on assets, allowing you to optimise management across a portfolio of properties.

Scalable

Easily installed, low-cost environmental sensors in the places that matter to monitor and upload the data to the cloud.

Advanced Analytics

Advanced analytics unpack the complex interrelationships that impact building performance and present actionable insights.

Automated Monitoring

Ongoing monitoring provides assurance and alerts, tracking trends through machine learning.

Tap into our sophisticated environmental risk analytics to understand the complex and nuanced interrelationships between the drivers that cause maintenance issues in dwellings such as damp, inefficient heating and void risk.

We don’t rely simply on relative humidity to identify issues such as mould.

Our proprietary moisture balance algorithm combines data on both internal and external conditions to establish the root cause of issues and the best action for remediation.

Know where to direct resources

Integrate our analysis with 3rd party platforms

Root cause analysis

Meet regulations & reduce litigation

Deploy our incredibly easy-to-install IoT sensors at scale across a portfolio of houses.

No hub, hard-wiring or complex installation required.

21%

of PRS homes are rated non-decent.

It’s estimated that somewhere between a third and half of all rented accommodation could have some degree of condensation, damp or mould.

£22K

Cost to remediate a home in the UK from mould and damp.

Identify the underlying causes of damp and mould before they become an issue, saving time, resources and remediation costs and avoiding costly litigation.

The complex and nuanced interrelationships between the drivers that cause moisture imbalance in dwellings need a sophisticated approach to environmental risk and analytics to answer them.

Relative humidity is a measure of how much moisture is in the air compared to the maximum amount the air could hold at a particular temperature. While high relative humidity can create favourable conditions for mould growth, it is not the only factor determining the risk of mould in a building.

As the indoor environment is influenced by external meteorological conditions, misleading conclusions may be drawn by using internal %RH in isolation. For example, it would not be possible to state if the observed conditions could be managed by limiting moisture generation, or by moisture removal through ventilation, or both.

Monitor thermal performance in rented accommodation and identify patterns that may indicate that the tenant is struggling to afford their energy bills and is using more energy than necessary to try to keep warm.

Identify the risk of fuel poverty and take steps to address the issue, such as by providing energy-saving advice or assistance with paying bills.

Fuel poverty is a problem for landlords because it can lead to a number of issues for their tenants.

If a tenant is unable to afford to heat their home, they may suffer from health problems as a result of living in a cold and damp environment. This can lead to increased absenteeism from work, which can have a negative impact on the tenant’s ability to pay rent.

If a tenant’s home is in disrepair due to a lack of proper heating and insulation, it can lead to costly repairs for the landlord.

Fuel poverty can also have a negative impact on the overall condition of the property, as a cold and damp environment can lead to the growth of mold and other issues that can be damaging to the structure of the building.

Red flags properties not in use and at risk of falling into disrepair and/or unauthorised possession.

Sensors help determine whether the property is being heated or cooled. If the temperature remains constant for an extended period of time, it could indicate that the property is empty.

£159

Average cost of gas and electricity to maintain an empty rental property.

Void properties present a major challenge, generating significant amounts of additional administration for already overstretched staff, as well as incurring both surplus overheads and lost revenue.

£500M

  lost rental income due to void properties across the UK.

Risk assess the stock

We combine energy performance data, housing databases that have records of previous remedial work, complaints, and inquiries, missed rent and fuel poverty risk, surveys, and more to risk profile stock and provide early alerts of issues.

Leverage renovation

There are already huge resources and focus directed at the large-scale renovation of our housing stock. Many of the solutions proposed for these buildings also impact mould risk, so there are huge opportunities to maximise return on investment.

Know where to direct resources

Mapping out works programs within organizations can identify enormous potential to escalate mould remediation and disrepair works. Data-driven decisions can prevent doubling up on work.

Get Serious

Don’t underestimate the scale and complexity of the problem. Using environmental data to properly understand and unpack the drivers of these problems so that the limited resources that everyone has can be used effectively is critical.