proprty.ai is a European PropTech company building domain-specific AI for data-driven building maintenance and portfolio planning.

Buildings are the world’s largest asset class, yet many maintenance decisions are still made based on fragmented data, manual processes, and short-term priorities. The result is unplanned repairs, inefficient CAPEX allocation, and limited transparency across portfolios.

At proprty.ai, we use predictive models to estimate the condition and remaining lifespan of building components, and turn that into prioritized maintenance plans across entire portfolios.

By combining condition assessments, public data, and portfolio insights, we enable property owners to allocate capital more effectively, manage long-term risk, and make consistent decisions across buildings.

This allows our customers to move from reactive repairs to structured, preventive maintenance based on clear priorities rather than ad hoc decisions.

We work with municipalities, social housing organisations, and professional property investors across Europe, including Denmark, Germany, Norway, and Switzerland.

proprty.ai

Ian Victor Magid Kjær

This department is responsible for designing, building, and maintaining data infrastructure and pipelines.

Data Engineering

This department oversees the strategic direction and overall management of the organization.

Executive Leadership

This department focuses on managing and overseeing investment strategies and portfolios.

Investment Management

This department focuses on promoting the organization's products and services while driving revenue through sales strategies.

Marketing and Sales

This department focuses on driving revenue growth through client acquisition and partnership development.

proprty.ai

Org chart

Teams

Data Engineering

Executive Leadership

Investment Management

Marketing and Sales

Sales and Business Development

Offices

proprty.ai

Org chart

Teams

Data Engineering

Executive Leadership

Investment Management

Marketing and Sales

Sales and Business Development

Offices

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