Our Services
Advanced AI-powered solutions transforming UK transport infrastructure for the future of mobility
Digital Twin Platform
Our SaaS Digital Twin Platform is designed specifically for UK councils and SMEs looking to optimize their fleet operations and energy planning. Using cutting-edge AI-driven simulation and network optimization, we enable organizations to model, test, and optimize their transport systems before making costly real-world decisions.
Key Features:
- Real-time fleet operation simulation
- AI-powered route optimization
- Energy planning and grid capacity analysis
- Scenario testing and what-if analysis
- Net Zero 2030 alignment tools
Use Cases
Local Councils
Optimize public transport routes, plan EV charging infrastructure, and prepare for autonomous vehicle integration.
Fleet Operators
Reduce operational costs, improve delivery efficiency, and plan electrification strategies.
SMEs
Access enterprise-grade optimization tools without the enterprise price tag.
Assessment Coverage
CAM Infrastructure Assessment
As the UK prepares for widespread adoption of Connected and Autonomous Mobility (CAM), infrastructure readiness is critical. Our comprehensive assessment platform evaluates every aspect of your road network, providing real-time viability scores and actionable insights for CAM deployment.
What We Assess:
- Road quality and maintenance requirements
- 5G and connectivity coverage maps
- Traffic pattern analysis and prediction
- Safety infrastructure requirements
- Regulatory compliance checking
Part of our DBT-funded OptTech 4 project
EV Route Optimization
Electric vehicle adoption requires more than just switching vehicles - it demands intelligent route planning that accounts for charging infrastructure, energy grid capacity, battery range, and real-time road conditions. Our EV Route Optimization service does exactly that.
Optimization Factors:
- Charging station availability and wait times
- Energy grid capacity and peak demand management
- Vehicle battery state and range calculation
- Traffic conditions and weather impact
- Cost optimization (time vs. energy)
- Multi-vehicle fleet coordination
Real Results
Average reduction in operational costs
Decrease in charging-related delays
UK coverage and real-time updates
AI & Machine Learning
Our Causal AI approach goes beyond correlation to understand the actual cause-and-effect relationships in transport systems, providing explainable insights that build trust and enable confident decision-making.
EV Remote Control
AI models that understand how environmental factors, driver behavior, and vehicle state affect remote control operations, enabling safer and more reliable autonomous features.
Autonomous Driving
Explainable AI for autonomous vehicle decision-making, providing transparency in how vehicles perceive, predict, and respond to complex traffic situations.
Network Performance
Causal analysis of transport network performance, identifying root causes of congestion, delays, and inefficiencies with actionable recommendations.