Keep your city moving, safely and efficiently.
Cities face increasing pressure to manage traffic, support multimodal mobility, improve safety, and coordinate public transport and freight - while preparing for emerging services such as DRT and autonomous vehicles. Our platforms provide the intelligence layer that transforms raw street data into actionable insights, enabling cities to understand, predict, and improve what happens on their streets, support coordinated and proactive mobility management, and experiment with advanced systems before real-world deployment.
What You Can Achieve
Avoid congestion before it forms
Detect traffic build-ups early, predict queue propagation, and improve corridor reliability across the wider network.
Operate mobility hubs more efficiently
Coordinate arrivals, transfers, freight, and EV charging through a unified view, enabling smoother passenger and logistics flows.
Improve safety for pedestrians & cyclists
Detect high-risk areas, adjust lighting, apply targeted interventions, and evaluate street redesigns with data-backed evidence.
Plan future mobility with confidence
Experiment with DRT, autonomous vehicle pilots, street redesigns, and urban corridor interventions using a digital twin.
Key Use Cases
Traffic Monitoring & Optimisation
Integrate data sources, detect incidents, predict congestion waves, and minimise incident clearance times.
Multimodal Hub Operations
Manage flows in passenger and freight hubs from a single control perspective, integrating bus, rail, and active travel modes.
Sensitive Corridor Protection
Combine air quality, traffic, and behavioural data to design safer and cleaner routes around schools and hospitals.
Road Safety Analytics
Detect conflict points, VRU risks, and hazardous areas with trajectory prediction and data-driven insights.
Scenario Testing & Digital Twin
Simulate DRT services, Connected and Automated Mobility, cycling infrastructure, and traffic restrictions in a risk-free virtual environment before real-world implementation.
How Our Technology Helps
Provide reliable mobility insights to help cities transition from reactive measures to proactive coordination using real-time sensing, predictive analytics, and simulation.
Unified operational view - merging diverse data streams
Predictive pressure analysis for congestion hotspots
VRU trajectory prediction and conflict-zone identification
Demand responsive transit simulation for optimised service efficiency
Key Capabilities
Real-Time Street Intelligence
Continuous sensing across corridors and junctions. AI-driven congestion prediction and VRU safety alerts in real time.
Scenario Simulation
High-fidelity digital twin to test DRT routes, street redesigns, and new traffic arrangements before implementation.
Safety & Compliance Reporting
Evidence-based safety assessments, audit-ready outputs, and structured reporting for authorities and stakeholders.