Ali Marz
Data analytics & machine learning
Ali builds data pipelines and machine-learning models that turn complex datasets into useful analysis. His work connects data preparation, modelling and clear technical interpretation.
LinkedInAbout RoadInsite
Transport knowledge.
Technical depth.
Shared purpose.
We bring engineering and data science together to make transport evidence more useful, accessible and practical.
Transport intelligence. Connected.Aotearoa New Zealand
Why we started
Better questions.
Clearer answers.
Transport teams work with complex networks, fragmented data and decisions that cannot wait for perfect information.
RoadInsite grew from Ali and Shervin’s work on transport projects in Auckland, and a shared interest in building the analytical tools they wished they had.
Today, our focus is practical: understand the transport context, establish the evidence and make the findings usable. Applied AI opens new ways to support that work, with careful evaluation and human judgement throughout.
Meet the team
Different disciplines.
A connected approach.
Shervin Ataeian
Transport engineering
Shervin brings expertise in traffic analysis, signal optimisation and network planning, with a strong understanding of New Zealand transport standards and practice.
LinkedInWhat guides our work
Grounded in evidence.
Built around people.
01
Evidence-led
Make the source, method and limits of a finding visible.
02
Practical first
Build what helps someone do useful work or make a better decision.
03
Kaitiakitanga
Treat data, projects and the communities they affect with care.
04
Built for here
Understand local networks, standards and the way transport teams work.
Bring us your transport question.
Let’s work out what the evidence can tell you.