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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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AI inside
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 we use
The algorithm uses a large amount of data input from dozens of sources, in some cities in the world it uses more than 200 parameters (sources and parameters will be listed below and their weight in the algorithm structure).
VERY HIGH impact
  • CRM systems of Developers
  • MLS listings
  • Building location (Latitude/Longitude)
  • Project class
  • Building rating
  • Neighborhood class
  • Parameters of apartment 20-27 criteria (area, floor, repair, the presence of a balcony, terrace, etc.) Apartment price
HIGH impact
  • Top 3 real estate websites in the city
  • Public data ( deals )
  • Macroeconomic data
  • Currency volatility
  • Wall material
  • Year of construction /reconstruction
  • Transport accessibility
  • Points of attraction
  • Transport accessibility in minute

MEDIUM impact
  • Infrastructure data (Google map)
  • Infrastructure data from Wikimapia
  • Infrastructure data from OpenStreetMap
  • Nasdaq index data
  • Amenities
  • Traffic attraction points
  • Sites of construction and repair companies
  • Data on the cost of materials and work

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 patent for house rating algorithm
  • Reputation of the district
  • Apartment rating among competitors
  • Crime reports
  • School rating
  • Segment dynamics
  • Falling prices / growth / stagnation
  • Listing price changes
  • 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
  • Marketplace sites Data on the cost of materials and work for repairment
  • Points of attraction
  • Number of floors
  • Liquidity of the area
  • Presentation of material (positive/negative) in mass media
  • Recognition of the recontact level on a 10-point scale from photographs
  • Archived data for listings on websites
  • Noisy areas
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The future of the real estate revolution starts here!