Vuabl a proptech startup has raised £220,000 in a pre-seed funding round from STAC Invest to roll out smartphone-based property condition reporting.
Vuabl’s development aims to help landlords and social housing providers collect auditable 3D and condition data using phone LIDAR, intended to help landlords and social housing providers meet tightening regulatory requirements without specialist survey equipment.
The company confirms investment will support further pilots and growth to housing providers that must meet new regulatory obligations on energy efficiency and tenant safety. Further commentary in the announcement also indicates to STAC’s help with structuring enterprise deals and navigating larger, often US-based appraisal operations during Vuabl’s early customer wins.
“We are a startup taking on some of the biggest property management businesses in the US, companies doing 70,000 to 90,000 appraisals a month, more than most Scottish surveyors handle in an entire year.
“Navigating those relationships, structuring proposals, managing enterprise integrations is a whole other world. STAC came in at exactly the right time. They have helped us understand how to manage complex deals, how to handle competitive assessment processes, and how to position ourselves in a market that operates very differently to the UK.
“We have made it through multiple rounds with major US clients and we have proposals on the table right now. That doesn’t happen without the right support behind you.”
Blair Stirling, Co-founder, Vuabl
UK landlords and housing providers face rising pressure on energy efficiency and housing standards. Tools that turn routine inspections into structured, auditable data can reduce the time and cost of compliance while highlighting safety and repair needs earlier.
Vuabl’s has conducted a pilot with Glasgow’s Wheatley Group, which manages 65,000 homes. This gives the product a realistic test in social housing, a sector where regulatory scrutiny and retrofit needs are especially acute.
Vuabl’s software finds spatial and environmental data using phone LIDAR and other on-device sensors. It generates 3D property models, indicators of structural condition, and early detection of damp or mould.
It also produces outputs intended to inform energy performance estimates such as EPC-related data. This is designed to negate the need for specialist scanning hardware on routine inspections and to merge condition data into landlords’ asset and compliance workflows.
