GeoPhy’s AVM exploits data from a combination of property, market, location, and social data sources. It explores non-linear relationships to deliver value assessments that significantly outperform traditional approaches.
Evra’s underlying Data Management Platform assembles and assesses hundreds of factors that potentially impact property value. Supervised machine learning models then calculate the influence of these factors based on comparative analysis of training data to provide a transparent weighting of Value Drivers relevant to a subject property.
Evra combines road and transit networks with proprietary algorithms that take ‘on the ground’ conditions into account for more accurate calculations on areas reachable within minutes by walking and multiple modes of transport.
Valuing one multifamily asset or a portfolio of assets? Evra helps identify optimal quantity, mix, and quality of property, location, and market features that drive multifamily real estate value.