Real estate is one of the slowest industries in adopting modern technology. It's weakest point is lack of structured data, research and basic knowledge funding to make the next leap. Large companies build advance technologies, create data and knowledge silos within their organizations to which we can't contribute and don't have the access.
With over $219 trillion in market size, real estate is the world's largest asset class. Over many decades we built repetitive and redundant processes across all verticals in the property business. With the right vision and talent in place, we can move the needle.
We are creating a research and case studies where we share the knowledge, data and resources on solving burning challenges in various real estate verticals using machine learning and AI.
Our goal is to increase the basic research funding of knowledge in real estate AI and share our findings with the wider audience. This project is co-funded by the European Union and both real estate professionals and scientists in the field of AI are welcome to contribute to the project with their ideas and knowledge.
