Urban neighborhood insights. Anytime. Anywhere.
The ubicube team is working on a powerful Big Geodata enabled technology that is capable of understanding spatial patterns. But what does that actually mean? We use globally available geodata in combination with sophisticated machine learning models to derive neighborhood insights that can help organizations to optimize site selection, spot areas undergoing gentrification or predict urban sprawl patterns.
How does it work?
Big Geodata
We collect satellite data and geotagged information from numerous sources and feed them into our dedicated geospatial intelligence.
Machine learning modelling
Our machine learning models are trained to estimate economic and demographic indicators in urban neighborhoods based on multi-source geodata.
Neighborhood Insights
These indicators are combined and translated into actionable neighborhood insights (e.g. gentrification score) that can be used by our clients for their purposes.
Your benefits
Comparable
We provide urban neighborhood insights that are comparable beyond administrative borders. No more collecting data from numerous providers.
Timely and accurate
No more outdated economic and demographic indicators.
Actionable Predictions
Information about how urban neighborhoods most likely will change in the future
Use-cases
- Site Selection
- With our technology we can deliver granular, internationally comparable and up-to-date socio-demographic and -economic data to improve site selection processes. Check out this video to learn how it works.
- Identification of Real Estate Investment Opportunities
- With our technology we can help organizations to anticipate where the next up-and-coming neighborhoods are.
Contact ubicube
Get in touch with us!
Are you interested in becoming an early adopter, starting a collaboration or exchanging experiences?