CityBrain: The AI-Native Urban Mobility Operating System
Once you deploy CityBrain, you will never lose the digital footprint of your transport system's operations. The platform continuously ingests live transport data to build a persistent Operational Memory. Every event, road closure, and shifting traffic pattern is permanently retained as compounding intelligence for continuous AI modelling, ensuring your agency always understands exactly how the network behaves.
The Engine Driving Your Transport Intelligence
AI-Native Digital Twin
A continuously updated, data-driven representation of the physical road network that learns directly from live and historical transport data.
Prediction System
Forecasts network behavior across multiple time horizons, from 15-minute operational windows up to long-term strategic planning horizons of up to 12 months.
Event & Scenario Automation Engine
Evaluates the operational impact of planned disruptions, road closures, and severe weather through advanced AI modelling, replacing manual static workflows with evidence-based scenario evaluations.
Traffic Signal DNA
Analyzes immense volumes of intersection data to learn the unique behavioral fingerprints of individual signals, instantly pinpointing capacity stress and abnormal demand.
Agentic System
Empowers engineers to query the network using natural language, while specialized Agentic AI proactively monitors conditions, diagnoses root causes, and recommends operational responses before humans have to intervene.
CityBrain Cloud-Native Architecture
- Permanent Digital Footprint
- Creates an unbroken operational memory, ensuring your agency never loses the historical digital footprint of its transport system's behavior.
- Continuous AI Modelling
- Leverages live transport data for continuous AI modelling, becoming smarter and more accurate with every recorded network event.
- Elastic Scalability
- Built on a highly available, API-first cloud infrastructure designed to seamlessly process massive streams of operational data across multiple jurisdictions.
- Future-Ready Data Fabric
- Structurally designed to natively ingest high-frequency data streams from future connected and autonomous vehicles (CAVs).