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Urbanly founder Federico Fernandez breaks down how geospatial visualization engines evolved into decision systems for planners.
We trace his path from Synthesity/UrbanSim to Autodesk (and the work that won an Autodesk CEO Award), then into Urbanly’s platform that fuses multi-source data with scenario generation and KPIs.
We discuss productizing scripts, modeling organic city growth, and why generative AI must be calibrated against empirical data—not treated as ground truth.
By e-verseUrbanly founder Federico Fernandez breaks down how geospatial visualization engines evolved into decision systems for planners.
We trace his path from Synthesity/UrbanSim to Autodesk (and the work that won an Autodesk CEO Award), then into Urbanly’s platform that fuses multi-source data with scenario generation and KPIs.
We discuss productizing scripts, modeling organic city growth, and why generative AI must be calibrated against empirical data—not treated as ground truth.