top of page


Empower radical change in the transport and logistics sector through applied mathematics and analysis - optimising, accelerating, and "greening" how we move.

The transport industry grapples with challenges including atomization versus massification, pollution from all forms of transport, logistical practicalities of routes across political borders, customs and regulatory documentation and procedures, load limitations, cargo fragility, monitoring and managing of fleet maintenance, performance, and risks, accuracy and insight from fleet telematics, and more. Now, more than ever, it is critical to gain better insight into what all of these factors can tell us about how to improve our transport infrastructure, reduce our carbon emissions, embed better technology into our transportation solutions, and improve the speed and efficiency of transport journeys.


Reviewing and adjusting components of
a transport or logistics system (inputs,
outputs, controls, procedures, actors,
applications, data, technologies) and their
interactions to produce better results.
Replicate traffic flow, environmental
conditions, human factors, etc.; improve
planning and control.


Relationships between a system's parts give rise to its collective behaviours, interactions, and relationships with its environment. Redesign traffic flow, loading, optimum routes, data sharing, aerodynamics, energy usage, etc.


Analyse complex systems, applying mathematics to business questions. Maximise allowable allocation for supply and demand, optimise unit transportation costs, improve fleet productivity.


How can AI and IoT work together to enable smart transport? Model core elements to make autonomous vehicles, mobility on demand, smart infrastructure, and connected transit systems a reality

How to apply this?

Our capabilities have already been deployed to solve complex issues in transport.

  • Supply chain insights

  • Sensor and telematics data analysis

  • Optimise routing and capacity management

  • Reduce CO2 emissions

  • Alternative fuel supply and infrastructure

  • Alternative material engineering modelling

  • Predictive analysis of traffic and cargo routes

  • Reduce pollution and community disruption

  • Geospatial-enabled services

  • Climate change impact analysis

  • Health & safety end-to-end modelling and system analysis

  • Enabling increased active travel

  • Data flow across borders

bottom of page