How Does Realiste AI Work? What Data Does the AI Use?
AI Realiste is a self-learning algorithm tasked with evaluating any apartment in the world, considering local preferences (simulating the decision-making process of a buyer in a specific location) to determine the investment attractiveness of real estate.
The algorithm utilizes a substantial volume of data input from numerous sources, incorporating over 200 parameters in some cities worldwide (the list of sources and parameters, along with their weights in the algorithm's structure, will be provided below).
VERY HIGH impact
Inventory of Developers
MLS listings (for the US market)
Building location (Latitude/Longitude)
Project price class
Building rating (in-house rating)
Neighborhood class
Apartment parameters up to 27 criteria (area, floor, repair, presence of a balcony, terrace, etc.)
Apartment price
HIGH impact
Listings from the Top 3 real estate websites in the city
Public data (deals)
Macroeconomic data (if acceptable)
The wall material of the building
Year of construction/reconstruction
Transport accessibility in meters
MEDIUM impact
Infrastructure data (Google map)
Infrastructure data from Wikimapia
Infrastructure data from OpenStreetMap
Building amenities
Points of attraction
Transport accessibility in minutes by walking
LOW impact
Utilities Condition of houses
Reviews on review sites ( about the building )
Semi-automatic map marking Districts, special zones
Special locations
Databases of taxes
Cadastral number of the sold apartment Cadastral number of the apartment for sale
VERY HIGH impact
Exposition period of unsold apartments
Prices of sold apartments
Exposition period of sold apartments
Sold apartments count
Liquidity of the apartment
Segment liquidity
HIGH impact
Transport accessibility in minutes by car
Transport accessibility in minutes total
House reputation (inhouse rating)
The reputation of the district (inhouse rating)
Apartment rating among competitors (inhouse rating)
Crime reports (if acceptable)
School rating
3 mounts dynamic of the market
Listing price changes daily
Correlation of changes in price and volume of supply
Correlation of supply volume and dynamics of demand
Factual data from users
Feedback from users
The power of demand
Green zones
Waterline zones
District Infrastructure
Rating Infrastructure
MEDIUM impact
Number of floors in the buulding
Liquidity of the area
Repairment type ( 10 stars score )
Archived data for listings on websites
Noisy areas (inhouse rating)
advisory board
Who help us succeed
More than 30 top officials in MENA support Realiste and provide market insights from EMAAR, the Ministry of Economy UAE, Nakheel, Al Jaber Group, and others.