Today, many maintenance decisions are still based on manual assessments, disconnected systems, and short-term priorities. This leads to unplanned repairs, inefficient CAPEX allocation, and limited transparency across portfolios. At the same time, buildings represent a significant share of CO₂ emissions, making maintenance and energy performance a growing financial and regulatory concern.

proprty.ai addresses this by using predictive models to estimate the condition and remaining lifespan of building components, and combining this with public building registers and portfolio data. This creates a continuously updated foundation for prioritizing maintenance, allocating capital, and managing long-term risk.

The platform enables property owners to move from reactive repairs to structured, preventive maintenance based on clear priorities rather than ad hoc decisions, while aligning financial, operational, and sustainability goals.

The company works with municipalities, social housing organisations, and professional property investors across Northern Europe, including Denmark, Germany, Norway, and Switzerland.