Empowering real estate investors: Realiste AI meticulously identifies the top 1% of off-plan properties from a vast pool of over 40,000 real-time listings.
Our obligations are spelled out in contracts with clients, whereas with real estate agencies, you will find that there are mostly verbal promises, but not written contracts.
We offer top 1%
We have contracts with 100% of developers on the market. We analyze absolutely all projects. We invented the first-of-its-kind AI in real estate in order to be able to analyze thousands of projects at the moment and select only the TOP 1% of the best investment opportunities for clients. Other companies cannot do the same, because by the time they study the market manually, it will already change.
99.7% successful investment
We improve customer service with personalized offers and precise analytics, resulting in higher satisfaction and accurate evaluations.
Realiste increases investor profit by streamlining the process of finding and analyzing properties using advanced machine learning algorithms and big data analysis.
Realiste enables informed risk analysis and provides legal/financial risk info and property rankings based on profitability and risk, aiding investor decision-making.
For the deals over $2m Realiste provides a guarantee for each price prediction for our clients. We are willing to pay for mistakes made by our artificial intelligence, in case you bought a property with us and the predicted price was incorrect
Use AI to get information 100x faster than others and also Join our new programme "Before Anyone Else" and you can get information about new projects before anyone else on the market
AI Realiste is a self-learning algorithm whose task is to evaluate any apartment in the world, taking into account local preferences (simulating the decision-making process of a buyer in a specific location) in order to determine the investment attractiveness of real estate.
Data inputs
What data AI uses?
The algorithm employs a substantial volume of data input from numerous sources, with over 200 parameters used in some cities around the world (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's insights from EMAAR, Ministry of Economy UAE, Nakheel, Al Jaber Group & etc.