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Deals Track record
Tracking for real estate transactions using AI technology to provide optimal recommendations on when to sell or hold a property.
  • Transparency and confidentiality
    We openly publish transactions on our service, which allows us to increase the level of transparency for all market participants. At the same time, we also respect the confidentiality of data and ensure the protection of our clients' personal information
  • Risk minimisation
    AI can be used to analyze the risks associated with investing in real estate and provide relevant recommendations. This allows investors to minimize their risks and increase the likelihood of earning profits
  • Profit maximisation
    Profit maximization: AI can help real estate sellers determine the optimal price for selling their property, taking into account the current state of the market and the needs of buyers. This can help sellers maximize their profits.
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Data inputs
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
    1. Inventory of Developers
    2. MLS listings (for the US market)
    3. Building location (Latitude/Longitude)
    4. Project price class
    5. Building rating (in-house rating)
    6. Neighborhood class
    7. Apartment parameters up to 27 criteria (area, floor, repair, presence of a balcony, terrace, etc.)
    8. 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)
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