Geospatial AI and traffic analytics platform for city governments
Urban SDK builds geospatial analytics for public agencies on a Python, Spark and Databricks core, with PostGIS, GeoPandas, Shapely and QGIS handling the spatial layer and TensorFlow and PyTorch for modeling. Current hiring tilts toward sales, backed by HubSpot, Apollo and ZoomInfo, and job posts flag long, multi-stakeholder government buying cycles as the main commercial friction.
Urban SDK is a privately held software company headquartered in Jacksonville, Florida, founded in 2018 and employing 51–200 people. It provides a location-analytics platform that cities and public agencies use for transportation, mobility, safety and sustainability decisions. Customers are primarily city governments, planners and policy makers who use the platform to track performance indicators and support budgeting. The company also delivers platform implementations and training workshops for urban planners. Hiring is focused in the United States.
Urban SDK uses Python, Databricks, Apache Spark, Pandas and AWS, with PostGIS, GeoPandas, Shapely, QGIS and GeoJSON for geospatial work, plus TensorFlow, PyTorch, scikit-learn, Docker, Kubernetes and Prefect.
Job posts point to a geospatial traffic analytics platform, a production pipeline for machine learning models, platform rollouts for city governments, and training workshops for urban planners.
Urban SDK is headquartered in Jacksonville, Florida, United States. It was founded in 2018, has 51–200 employees, and currently hires in the United States.
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Urban SDK's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
