Industry
Smart Cities
Urban technology succeeds or fails on public trust. We design these systems to collect the minimum data needed, keep it explainable, and produce outcomes a resident could have described in advance.
The constraints
What this sector is actually up against
Written from the operator's side rather than the vendor's. If any of these do not match your situation, say so early — it usually means the design should be different.
- Sensor estates across vendors, protocols and generations
- Privacy expectations in genuinely public space
- Departments that need the same data in incompatible shapes
- Long asset lifecycles against short technology cycles
Applications
What we build for smart cities
Urban sensing platforms
Multi-vendor ingestion with a common model and retention rules.
Mobility analytics
Traffic, transit and pedestrian flow analysis for planning decisions.
Digital twins
Spatial models for scenario planning and infrastructure simulation.
Operations dashboards
Cross-department views that do not require a data team to read.
Services
Practices that apply here
Web & Enterprise Applications
Typed, tested platforms that integrate with the systems already running your business.
Learn more about Web & Enterprise ApplicationsMobile Development
iOS, Android and cross-platform applications built for offline-first reality.
Learn more about Mobile DevelopmentAI Agents & Workflow Automation
Language models, retrieval and agents built to run in production with evaluation and guardrails.
Learn more about AI Agents & Workflow Automation
Building something for smart cities?
Tell us what you are trying to build and what is in the way. We will tell you whether we are the right people for it.