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Applying Artifi cial Intelligence to property search

AI property search image

Property search is changing. Today, movers usually go to Rightmove, Zoopla or OnTheMarket. They put a postcode, budget and the number of bedrooms. It’ll return dozen of properties. The problem is, this search says very little about their real preferences. Are they looking for natural light? Do they prefer wooden floors, or are they more of a carpet kind of person? Tall ceilings or rather a cosy, intimate feel?

The current search functions offered are effectively blind. They deal with price, location, number of bedrooms. That’s it.

Now, a new model, cortexai, developed by Daniel Roy, uses Artificial Intelligence and more specifically Computer Vision to create property search results and alerts that are actually relevant to the mover.

When you go to google, search for something and press images, this is Computer Vision. It consists in understanding an image in its context. A branch of Artificial Intelligence, Computer Vision has been making incredible progress during the past five years as a by-product of the $80 billion dollars invested in self-driving cars.

Cortexai models are trained to recognise what matters in a property. From period features to a 1970s kitchen, from apparent beams for the warehouse feel, to original floorboards for a Georgian conversion, Cortexai sees the world with the eyes of a property expert.

Cortexai technology can be installed by estate agents on their existing platforms (web, app) for as low as £99 per month and branch. Cortexai is a start-up in London building Artificial Intelligence tools making property search faster, easier and fairer. Find out more at cortexai.io

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