From question to clarity in minutes
Understand what can actually be built on any site using verified planning data, zoning, and real-world constraints, all in one place.
No fragmented PDFs. No assumptions. Just defensible decisions.
Planning decisions are still unnecessarily difficult
Before any project moves forward, teams need to answer simple but critical questions.
They lack a clear, unified way to interpret it.
- What can actually be built here?
- What policies apply to this site?
- What risks are hidden in the data?
- How do overlapping regulations interact?
Built for every professional shaping Canadian cities
Different roles face different challenges. See how Ratio.City adapts to your workflow.
De-risk every site decision before you commit capital
You’re evaluating sites under uncertainty, unclear zoning interpretation, long due diligence cycles, and risk concentrated at the very start of your process.
- Unclear zoning interpretation
- Long, expensive due diligence cycles
- Hidden constraints discovered too late
Navigate policy complexity with a single source of truth
You’re managing multiple overlapping policy layers, stakeholder expectations, and inconsistent data interpretations, simultaneously.
- Multiple overlapping policy layers
- Inconsistent data across departments
- Stakeholder communication bottlenecks
Test scenarios within verified site constraints
You need fast iteration at the feasibility stage before committing to a design direction. Real context, from day one.
- Feasibility studies taking too long
- Iterating without real site data
- Discovering limits mid-design
Access structured data with a clear audit trail
You need clarity on land use interpretation, regulatory alignment, and a traceable source behind every data point.
- Unverified or unlinked data sources
- Conflicting regulatory interpretations
- No clear audit trail for reporting
Centralize planning data with access controls built in
You’re managing growing pressure to digitize, standardize, and share planning data, internally and with the public.
- Siloed internal datasets
- Public vs. internal access challenges
- Pressure to accelerate review cycles
