Geospatial AI platform for city operations and mobility analytics
Urban SDK builds a geospatial analytics platform that ingests real-time location data and transforms it into operational intelligence for public agencies. The tech stack—Python, Databricks, PySpark, PostGIS, and PyTorch—reflects a data-engineering-first approach to processing spatial datasets at scale. Sales is the dominant hiring focus (5 open roles vs. 1 data), paired with documented friction around multi-stakeholder deal cycles and long purchasing windows, suggesting a classic government-sales organization still building repeatable motion.
Urban SDK provides geospatial AI and real-time location analytics to city governments, transportation departments, and public agencies. The platform ingests traffic, mobility, and safety data; applies machine learning models to identify patterns; and surfaces visualization and performance metrics to inform policy and infrastructure decisions. Founded in 2018 and based in Jacksonville, the company operates with 51–200 employees across engineering, data, and a growing sales function. Current execution focuses on rolling out implementations with municipal clients and scaling consulting delivery through training workshops.
Python, Databricks, PySpark, AWS, PostGIS, Prefect, Kubernetes, and machine-learning libraries (TensorFlow, PyTorch, scikit-learn). Geospatial work relies on GeoJSON, QGIS, and GeoPandas.
Platform implementations for city governments, geospatial traffic analytics, ML model production pipelines, and training workshops for urban planners.
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.