Andreas Zachariah
CEO, TravelAi
My journey into transport began early as the son of a 747 captain and grandson of an engineer and avid car collector. I grew up understanding transport not just as infrastructure, but also as engineering art, and as a social enabler. My academic path, include a B.Eng in Materials Engineering, an MBA in Finance, and an MA from the Royal College of Art in Industrial Design Engineering. These perfectly reflects my main interests and a lifelong curiosity and commitment to the intersections of science, commercialisation, and human-centred design.
Technology:
For my Materials Engineering thesis, I coded a mainframe simulation of nickel metal matrix alloy solidification as used in jet engine turbine blades. For my MBA in Finance I modelled Central Bank interventions on FX volatility. I wrote an early algorythmic trading system in 1999 filtering out signals from noise, which would later become the basis for mode detection.
Professionally:
I’ve worn multiple hats from meeting CFOs and finance ministers, building algorithmic trading systems and managing a £1bn credit portfolio in high-tech sectors. Then founding and leading CarbonDiem, carbon footprinting startup. Later TravelAi where we pioneered automatic, end-to-end multimodal transport detection via smartphones. Our proprietary “X-Ray” software has attracted 50+ patent citations, and was recognised years before GoogleMaps launched YourTimeline. We’ve processed tens of millions of kilometres of user journeys, helping cities, operators, and researchers understand real-world travel behaviour from the demand side.
The mission is to help the digitalisation of the transport system from the point of view of the transport users or demand side and not the movement of industry assets.
Our recently completed (2025) DfT-funded “FUSION” study collected over 13.5m Kms of continuous, user-consented, time series data from more than 3,500 participants across the UK. Building a ‘Sovereign AI’ company with transport-specific Ai, global scalability, rooted in ethical data practices, open collaboration, and a user commitment to transparency.