AI Portfolio Manager
View and modify investment opportunities in your portfolio, track their returns and risks. Get analytics and artificial intelligence signals.
- Accurate predictionsOur AI-powered real estate portfolio product processes large volumes of data to provide more accurate predictions of future real estate prices based on modern machine learning technologies.
- ScalabilityOur product allows users to scale their real estate portfolio as it provides access to a wide range of properties and analyzes them in real-time.
- Greater freedom of choice:Our product helps users make informed investment decisions by providing information on various real estate properties and analyzing their characteristics. Thus, users can choose properties that align with their investment goals and preferences.
FEATURES
Invest Like a Pro with AI-driven Portfolio
Our AI-based real estate portfolio allows users to customize their investment strategy according to their preferences and goals, automatically manage the portfolio to maximize returns and minimize risks. It is an innovative and reliable way to invest in real estate.
AI inside
HOW IT WORKS
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
Resources
Learn more
The future of the real estate revolution starts here!