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KAB: Digitising 6 million m² with AI and a shared data foundation

Creates standards, overview, and better decisions across the portfolio.

Jan 27, 2026

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Customer cases

By & Havn: AI and Dalux integration turns maintenance into an operational discipline

From plan to practice — AI makes maintenance faster and more precise.

Jan 27, 2026

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Rudersdal Municipality strengthens preventive maintenance with proprty.ai

Rudersdal is taking a step towards more data-driven operations.

Jan 16, 2026

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Martin Hansen, Danske Shoppingcentre: “CO₂ reduction starts with a common starting point”

How Danske Shopping Centre translates climate targets into action.

Jan 16, 2026

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Customer cases

KAB: Digitising 6 million m² with AI and a shared data foundation

Creates standards, overview, and better decisions across the portfolio.

Jan 27, 2026



Customer cases

By & Havn: AI and Dalux integration turns maintenance into an operational discipline

From plan to practice — AI makes maintenance faster and more precise.

Jan 27, 2026



News

Rudersdal Municipality strengthens preventive maintenance with proprty.ai

Rudersdal is taking a step towards more data-driven operations.

Jan 16, 2026



Blog

Martin Hansen, Danske Shoppingcentre: “CO₂ reduction starts with a common starting point”

How Danske Shopping Centre translates climate targets into action.

Jan 16, 2026

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proprty.ai strengthens its team with one of the country's most experienced AI experts on the advisory board

proprty.ai expands advisory board with leading Danish AI expert

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How AI can transform Swiss Real Estate

AI as the engine of smarter, sustainable real estate in Switzerland.

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Make everyday life easier with proprty.ai integration for Dalux

Automated integration that reduces manual labor in everyday life.

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Collaboration on sustainable building operations

Data and partnerships create new solutions for sustainable operations.

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Victor Maahr, City of Copenhagen: “Low-hanging CO₂ fruits can be found in maintenance”

The greatest CO2 gains lie in maintenance.

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Michael Ørsted, NIRAS: “Use your existing data, use energy label data as a baseline”

Use the data you already have—energy labels as a foundation.

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