Realto provides data-driven property price estimates and scenario simulations for residential properties in the Netherlands.
Our purpose is to support better, more informed decision-making when buying, selling, or improving a home. Realto is designed as a decision-support tool and does not replace official valuations, appraisals, or advice required by banks, notaries, or tax authorities.
The price shown by Realto is an estimated market value at a specific point in time.
It reflects what similar properties have historically sold for under comparable market conditions, based on observed data patterns.
The estimate is:
The estimate is not:
Market outcomes always depend on individual buyers, timing, and circumstances.
Realto models are trained on large-scale historical data from the Dutch residential property market.
This includes:
Data is aggregated and processed to identify structural patterns rather than individual transactions. Realto does not rely on a single source or static price-per-square-meter rules.
Realto evaluates how different property characteristics have historically influenced sale prices. Key factors include:
These factors form the basis for both the initial price estimate and the scenario simulations.
Scenario testing is a core feature of Realto.
Users can adjust individual property features such as living area, number of rooms, or energy label and instantly see how the estimated value changes.
When a scenario is tested:
This allows users to isolate the impact of specific changes and compare alternatives side by side.
Scenario testing is intended to explore potential value impact, not to predict the exact financial outcome of a renovation project.
Realto uses modern machine-learning models trained to recognize patterns in how property characteristics and market conditions have historically influenced sale prices across the Netherlands.
Rather than applying fixed rules, the model learns from many examples to estimate how different factors typically affect value adapting to regional and temporal differences in the market.
This approach allows Realto to reflect market dynamics more realistically than static formulas.
Realto provides estimates, not certainties.
While the model captures broad market behavior, some factors are inherently difficult to quantify, including:
For this reason, Realto is best used as a decision-support tool alongside professional advice and local market knowledge.
Realto estimates reflect market conditions at the time the prediction is generated, based on the most recent data available to the model.
Because property markets evolve over time, estimates may change as new data becomes available or as market conditions shift.
Property addresses and inputs are used solely to generate estimates and scenario simulations.
Realto does not sell personal data and follows GDPR principles. Detailed information on data handling can be found in our Privacy Policy.
Realto is designed to bring clarity and transparency to complex property decisions.
By combining data-driven estimates with scenario exploration, Realto helps users understand not just what a property may be worth, but why and what could change it.