Reference object model for taxation and insights

Map showing the arrangement of buildings clustered into 9 different types.


To evaluate real estate a model was needed that delivered more relevant reference objects (comparable properties) than the existing model.


StraTopo developed a Machine Learning model which can cluster buildings not only in terms of standard features, but also based on building type, technical condition, proximity to facilities, type of neighborhood and more.


The taxation process has been upgraded through the availability of more relevant reference objects. Also, the client has gotten access to urban trends by being able to cluster buildings based on building type, proximity to facilities and more which improves the real estate search process and spatial planning capabilities.

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