010Real-Estate
Value AI
A mobile app that valus property from a photo and models what improvements would be worth
The problem
Property valuation and scenario planning needed a more modern approach. Drawing on the dynamics of the real estate market in the leafy suburbs of South West London, the aim was a new way to register interest in properties, see what a property could be worth with improvements, and explore the surrounding area.
What we built
We built the journey to start with a photo and a location, which together identify an address and kick off data gathering. The app queries the Land Registry for the last sale price and other prices in the postcode, reads EPC data for square footage and room count, and compares against the House Price Index to assess current value. From there, consumers can model what-ifs, such as a house expansion, kitchen remodel or loft extension, each of which adjusts the valuation. Owners can claim and register their property by email, Google or Facebook, and then receive messages of interest. We built it on Expo and Ruby on Rails.
The outcome
The functionality is now used daily by the OMC team in Australia and worldwide. Per Eastons Estate Agents, the TOL team was instrumental in bringing ValueAI to market.
AI woven through
AI underpins the valuation engine, turning a photo and location plus Land Registry, EPC and House Price Index data into a property value and modelling how improvements change it.
“Take a photo, pin a location, and see what your property is worth, and what it could be worth with a loft extension.”
Screens
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