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From the Pit Lane to the Cloud: Why We Built the Next Generation Home of Motorsport Data Analytics

Writer: Christophe  Perrin
Christophe Perrin
Sep 1
2 min read

Christophe Perrin - Founder

For over two decades my life was measured in milliseconds, lap times, and telemetry trace overlays. As a race engineer my primary job was simple to state, despite being complex to execute: extract every ounce of performance from a race car and give our team and drivers the winning edge. Over those 20 years, I witnessed a massive technological shift. The volume of data collected from race cars exploded.

Every stint brought gigabytes of information — vehicle telemetry, chassis setup metrics, driver inputs, ambient temperatures, track evolution, tire degradation profiles, videos, and strategy variables.


Yet, despite having access to more numbers than ever before, a fundamental problem persisted in every organisation I worked in: our data lived in silos and our engineering teams lacked a single source of truth.


We had different tools showing us multiple car data, separate spreadsheets tracking setup adjustments, and distinct software monitoring atmospheric conditions, tyre wear or plank/brake wear. Connecting the dots between these isolated streams usually meant manual comparisons, guesswork under immense time pressure between sessions/event, or relying on subjective intuition.

Worse, this fragmentation created operational friction. Performance engineers, trackside engineers, and systems data analysts were often working in parallel on different files, local software, or disconnected spreadsheets. In high-stakes motorsport, the lack of a true collaborative environment made seamless synchronization across the entire organization almost impossible - I kept asking myself:


"How can we bridge these data sources to reveal the full picture, while bringing the entire engineering crew onto the exact same page analysing the same metrics to extract more robust than even conclusions?"


How does a 3°C rise in track temperature interact with a specific anti-roll bar change and how can every engineer on the team instantly see, analyse, and act on that insight simultaneously? That twin-pronged challenge became the starting point for our company. I decided to take everything I learned from 20 years on the pit wall to build a collaborative cloud workspace with the analytical power I always wished I had. We built a big data platform specifically tailored for motorsport — designed not only to automatically link vehicle telemetry, setup parameters, and environmental dynamics, but also to serve as the unified workspace for the entire engineering staff.


Today, as we launch our platform, we are bringing modern collaborative workflows to race engineering. Our platform breaks down the walls between traditional data silos and keeps every engineer synchronized, turning raw numbers into decisive track position in seconds rather than hours or days. 


Whether you're managing a single entry or a multi-car championship campaign, we are excited to help your team work smarter, align faster, and find that extra tenth of a second.


Welcome to the future of motorsport analytics.
 
 
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