Smart Cities
Data that moves across the city: mobility, services and infrastructure on one screen
The city already produces the data. Traffic lights, buses, street lighting, citizen requests, water and energy consumption — every system measures something, and almost none of them talk to the one next door.
We integrate those sources into a single layer, so that mobility, resource management and citizen services are decided from the same data, at the same moment.
The problem is not missing data
It is that the data does not connect. Every department, utility and vendor runs its own system in its own format, and the manager's dashboard ends up being a spreadsheet assembled by hand every Monday. We start with an inventory of what already exists, and of what each source can actually answer today.
Integration before dashboards
A beautiful dashboard over numbers that do not reconcile is a liability, not a tool. We build the integration layer first — collection, normalisation, history and data quality — and the visualisation after. That is what lets you compare the same indicator across districts, months and vendors without a footnote.
AI where it decides something
Transport demand forecasting, request triage, anomaly detection in consumption, predictive maintenance of urban assets. We apply models where they change an operational decision — not where they produce one more report.
Built to outlast the term of office
Open standards, documentation, and the city or utility team trained to run what we hand over. Public software that needs a single vendor to keep breathing is debt, not an asset.
Frequently asked questions
It is the layer that makes a city’s systems talk to each other: transport, lighting, sanitation, citizen services and the assets that hold them up. Doois designs and builds that layer — integration, history, dashboards and automation — on top of the systems already in operation.
No. We integrate them. Replacing everything is expensive, slow and almost always unnecessary: what is usually missing is the bridge between what is already there. When a system genuinely has to go, that is a conclusion of the assessment, not its starting point.
City data is people’s data. We work with minimisation, role-based access, audit logging and purpose-bound retention, as the LGPD in Brazil and the GDPR in Europe require. What does not need to be identifiable is not collected in identifiable form.
With a discovery conversation through our contact page. From there we map the data sources available, what each one can answer today, and which operational decision changes first — and that slice becomes the first scope.