Our Framework

Pilot first. Prove the model.
Scale responsibly.

A disciplined five-stage deployment framework designed around safety, evidence and local partnership. Every decision is grounded in data, regulatory compliance and collaboration with local authorities.

01

Engage

We begin by working with local authorities and transport bodies to understand the local mobility opportunity. This involves understanding transport priorities, identifying areas of potential interest, and exploring whether autonomous passenger services could complement existing transport provision.

Early engagement is non-committal for both parties. The purpose is to share information, explore possibilities and build understanding before any formal commitment.

02

Assess

We analyse passenger demand, road suitability, operating zones, infrastructure requirements and commercial viability. This detailed assessment identifies whether a location has the characteristics needed for a successful autonomous mobility deployment.

Assessment considers population density, commuter patterns, tourism flows, rail connectivity, road network complexity, depot availability and local regulatory readiness.

03

Approve

We work through the required vehicle approval, passenger-service licensing and local authority consent processes. All regulatory requirements must be satisfied before any deployment proceeds.

This includes vehicle type approval, automated passenger service authorisation, insurance arrangements, data protection compliance and local authority operating agreements.

04

Pilot

We launch a carefully controlled initial fleet within an agreed operational area. The pilot phase is designed to generate real-world operating data, test passenger experience and build evidence for future expansion.

Pilot fleets typically begin with 10–30 vehicles operating in a defined zone with agreed hours, monitoring protocols and incident procedures.

05

Scale

We expand vehicle numbers and operating zones based on safety performance, passenger demand and real-world operational evidence. Scaling only proceeds after agreed performance thresholds have been met.

Scale decisions are data-driven and agreed with local authority partners. Expansion may include extending operating hours, enlarging the service zone, or deploying additional vehicle types.

Operational capabilities

Each deployment draws on a comprehensive set of operational disciplines.

City selection

Identifying towns and cities with the right characteristics for autonomous mobility deployment.

Demand modelling

Analysing passenger demand patterns to determine service viability and fleet sizing.

Operating-zone design

Defining safe, practical operating zones based on road network analysis and local requirements.

Vehicle-platform selection

Evaluating approved autonomous vehicles for each deployment based on safety, capability and economics.

Insurance and risk

Working with specialist insurers to secure appropriate autonomous vehicle fleet insurance.

Charging and depot planning

Planning charging infrastructure and depot facilities to support fleet operations.

Customer support

Providing passenger support through in-app assistance and operational monitoring.

Fleet monitoring

Continuous monitoring of fleet performance, vehicle status and operational metrics.

Incident management

Clear incident response procedures developed in consultation with local authorities and emergency services.

Data and reporting

Regular performance reporting to local authority partners with transparency on operational data.