urbanixm supports sustainable urban development through custom data analysis, case study research, and interactive tools to support decision-making, combining global best practice with knowledge of local context.
Cities worldwide face pressing challenges—from air quality and stormwater management to traffic safety, housing supply and community wellbeing. The problems are pressing but silver bullets are rare. Partial impact evidence exists, but the interactions between interventions and contexts are genuinely complex. Urbanixm’s service-first approach reflects the recognition that urban complexity requires both technical rigor and intellectual humility—understanding what the data can tell us while acknowledging what it cannot.
We work with teams tackling the complex challenges of sustainable urban development, local authorities, urban planners, transport engineers, urban activists, city think tanks and NGOs.
Urban Data Analysis
We provide deep dives into local datasets to explore specific strategic questions, acknowledging what the data can and cannot tell us.
Global Case Study Research
We use AI enabled technology to perform systematic research on comparable places and interventions, focused on what actually happened after implementation.
Custom Analysis & Prototyping
We apply tailored methods for questions that need more than static reporting—including interactive tools and exploratory digital prototypes.
urbanixm stories are portraits of the global impact of urban infrastructure and policy, together with narrated analysis of urban data sets to capture local context. The stories give a preview of the potential of urbanixm services, its knowledge discovery engine and urban data toolset.
Our work stands on two technical pillars: a toolbox for flexible analysis of urban data and a content processing engine to extract urban knowledge from the Web.
Data Analysis Toolbox
In our Urban Data Analysis Toolbox we collect a mixture of open-source tools and our own proprietary algorithms to collect aggregate, analyze and visualize urban data to generate data-driven insights that helps construct a data centric view of local context.
Knowledge Discovery Engine
A collection of AI powered tools to create an urban knowledge repository, by crawling websites related to urbanism and extracting information about urban policy and infrastructure interventions, with a special attention to their sustainability impact.
