UrbanDataLab
UrbanDataLab is a data science company, spun off from ETH Zurich, providing a platform with location data and analytic tools that can be easily integrated into existing business processes. They empower professional users with spatial machine learning technology to create solutions for revenue prediction, risk modeling, and location decision-making. Their value proposition centers on individuality, offering modular solutions for customized results without requiring clients to collect their own data or develop software. They also emphasize simplicity by simplifying complex data, models, and technologies into intuitive solutions, enabling insights even without software or data science expertise. Their approach is solution-oriented, using data and technology to solve concrete customer problems and maximize the potential of location data and spatial analysis. They offer international scalability, with analysis methods developed at ETH Zurich to enable application and comparability of urban spaces across national borders. Key sectors they serve include Real Estate, Insurance, Retail, and Authorities, providing data and predictive models for risk identification, customer segmentation, and optimization of location and expansion strategies.
UrbanDataLab
UrbanDataLab is a data science company, spun off from ETH Zurich, providing a platform with location data and analytic tools that can be easily integrated into existing business processes. They empower professional users with spatial machine learning technology to create solutions for revenue prediction, risk modeling, and location decision-making. Their value proposition centers on individuality, offering modular solutions for customized results without requiring clients to collect their own data or develop software. They also emphasize simplicity by simplifying complex data, models, and technologies into intuitive solutions, enabling insights even without software or data science expertise. Their approach is solution-oriented, using data and technology to solve concrete customer problems and maximize the potential of location data and spatial analysis. They offer international scalability, with analysis methods developed at ETH Zurich to enable application and comparability of urban spaces across national borders. Key sectors they serve include Real Estate, Insurance, Retail, and Authorities, providing data and predictive models for risk identification, customer segmentation, and optimization of location and expansion strategies.