You can’t fix what you can’t see. That’s why we built the Housing Inventory Dashboard—an open, visual tool to help cities, planners, and advocates make smarter housing decisions. Learn how we partnered with the City of Toronto and local organizations to bring critical housing data into focus.

While AI offers powerful tools for urban planning, its implementation comes with challenges—especially around data integrity and ethics. Generative AI models rely on vast datasets to produce content, but if the data is biased or inaccurate, the output will reflect those flaws. Transparency in AI training data is crucial to ensuring fairness and accountability.

Privacy is another concern: Who owns the data entered into AI models? Will sensitive information remain confidential, or could it be used to train future AI outputs? Additionally, the computational power required for AI models has a significant environmental impact, raising questions about sustainability.

Urban planners must strike a balance—leveraging AI’s efficiencies while maintaining human oversight to ensure responsible, ethical, and transparent adoption of this technology.

At Ratio.City, we know that even the most advanced tools mean nothing if they aren’t intuitive and useful. That’s why we actively seek feedback from our users—because your insights help us refine our platform and build features that truly support your workflow.

From user interviews to hands-on usability testing, our team listens, learns, and adapts to make Ratio.City better every day. When you share what works (and what doesn’t), we take action—so you can work smarter, not harder.

Read more about how we collaborate with our users to shape the future of urban planning.

Fostering Collaboration in Urban Planning

Urban planning thrives on collaboration. At Ratio.City, we empower planners, policymakers, and developers with data-driven tools to streamline decision-making and build inclusive, innovative cities.