In the city development value chain, the most common denominator in decision-making is usually information about a particular area’s lot, real estate, and zoning. However, to make a successful decision, it is vital to understand what kind of people inhabit a certain area, and how they operate and move – both now and in the future.

These two levels are combined in a unique way in the unique CHAOS solution that harnesses AI and machine-learning to fuse together anonymised population data, footfall data, and service data with conventionally used real estate data. In fact, CHAOS’s differentiator is its ability to generate forecasts and a deep business understanding of data from new technology, such as machine learning.

For instance, CHAOS has developed its own data layer to service maps, which reveals the accessibility of services at a 5, 10, 15, or 20-minute travel time – e.g., on a car, bus, or on foot. In addition, CHAOS provides insights regarding what type of services are lacking and would increase area’s convenience and liveability.

“We utilise data sources that no one else uses, we combine data unlike anyone else, and refine it onwards in a unique way. Thanks to this elegant procedure, we’re able to provide our customers with a superior level of service, along with the business understanding that genuinely benefits them”, states Rincón.

In Finland, CHAOS has already established its position as an innovative industry vanguard, with the company now setting its sights on Denmark.

”Data and data sources are always local, with different industries requiring different types of data. We’ll start off by providing our services to local Danish retail chains that are looking for optimal locations for their stores and businesses”, Rincón concludes.