proprty.ai is building a service to help Danish property managers leverage machine learning technology to create better condition assessments and maintenance plans. The cost of maintaining the Danish property mass is growing fast, and property managers are struggling to keep up with maintenance and regulatory responsibilities. This is not only hurting the property managers, but also the people using and living in the buildings. The challenge to live up to the EU Taxonomy for Sustainable Activities, is made harder, by not having the tools nor data to make the right strategic choices when planning and executing maintenance. With our service we aim to create property condition assessment and maintenance plans faster and more accurately than what is possible today. Using machine learning algorithms trained on millions of m2 worth of data, we can provide property managers with data to make the right decisions, when it comes to spending resources on maintenance. That way they can cut costs, improve property conditions and push the property mass towards a sustainable future. We're creating an AI powered web platform, that allows property managers to create condition assessments and maintenance plans in a fraction of the time they're using today, by mixing output from our machine learning models with boots on the ground input. It's not only faster. It provides high quality data instead of subjective information. At proprty.ai we've already signed partnerships with 18% of the Danish residential property market. We have a very real problem to solve, and a strong team to do it.