Urban SDK Tech Stack

Geospatial AI platform for municipal traffic, mobility, and transportation analytics

Software Development Jacksonville, Florida 11–50 employees Founded 2018 Privately Held

Urban SDK builds geospatial AI for public agencies—a stack of Python, Spark, PostGIS, and Databricks optimized for location-based analytics at scale. The company is sales-heavy (6 headcount) relative to engineering (2), which reflects their core challenge: navigating complex government procurement cycles and long sales processes with multi-stakeholder approval chains. Active projects span traffic prediction, route optimization, and ML model deployment, but internal friction points around onboarding, workspace configuration, and data integration suggest the product is still maturing operationally.

Tech Stack 29 technologies

Core StackPython Databricks AWS PySpark pandas Apache Spark Prefect Docker Kubernetes Hadoop TensorFlow PyTorch scikit-learn NumPy HubSpot ZoomInfo SQL NoSQL GeoJSON PostGIS Hive QGIS GeoPandas Shapely GCP Azure ArcMap Apollo GIS

What Urban SDK Is Building

◆Challenges

Complex multi-stakeholder sales cycles
Long purchasing cycles
Reducing risk accounts
Expanding upsell opportunities
Onboarding new government partners
Integrating data
Configuring workspaces
Scaling recruiting processes
Scalable onboarding framework
Complex procurement environments

▲Active Projects

Geospatial traffic analytics platform
Machine learning model production pipeline
Traffic prediction and route optimization models
Scalable geospatial data pipelines
Ml model production deployment
Transportation analytics platform deployment
Customer onboarding for government agencies
Build systems and processes to scale
Implement lightweight onboarding and employee engagement practices
Manage hr system for recruiting and onboarding

Hiring Activity

Minimal15 roles · 1 in 30d

Department

Sales

Engineering

Data

Seniority

Junior

Mid

Lead

Senior

Manager

Notable leadership hires: Talent Lead

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About Urban SDK

Urban SDK provides geospatial AI analytics to municipal governments and transportation agencies. The platform ingests real-time location data, applies machine learning models for traffic prediction and route optimization, and surfaces insights through visualization dashboards to support policy and budgeting decisions. Founded in 2018 and based in Jacksonville, Florida, the company operates as a small, privately held firm (11–50 employees) serving the smart-cities and transportation-operations segment. Customers are primarily public-sector organizations facing long procurement cycles and complex approval workflows.

HeadquartersJacksonville, Florida

Company Size11–50 employees

Founded2018

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Urban SDK use?

Python, Databricks, AWS, PySpark, Spark, SQL, PostGIS, Prefect, Docker, Kubernetes, TensorFlow, PyTorch, and scikit-learn. Also uses GIS tools like QGIS, GeoPandas, Shapely, and ArcMap for geospatial data handling.

What is Urban SDK working on?

Geospatial traffic analytics platform, traffic prediction and route optimization models, scalable data pipelines, ML model production deployment, and customer onboarding workflows for government agencies.