The Science Behind Every ADRO Kit: How F1-Level CFD Creates Real Performance
Why Aerodynamics Actually Matters
(And It's Not Just About Looks)
Every time your car moves through air, three critical forces are at work: downforce, drag, and balance.
These invisible forces can either help to make you faster, or just slow you down.
Drag resists forward motion—sometimes you want to minimize it for straight-line speed, other times you'll accept more drag to gain crucial downforce and be a lot faster in the corners and hence faster overall.
Balance determines how these forces are distributed between front and rear axles, fundamentally changing how your car handles and this is what we consider the most important aspect when adding performance to a vehicle. It is easy to add a huge wing and have a lot more downforce, but you’ll understeer off the track in the first high speed corner as you don’t have appropriate balance at the front and it will run out of grip quickly!
The problem ADRO sees? Most aftermarket aerodynamic modifications are designed purely for aesthetics, with manufacturers occasionally making bold performance claims backed by little more than guesswork.
The ADRO Difference: F1 Methodology Meets Automotive Reality
This is where ADRO's approach fundamentally differs from the industry standard. Our process isn't based on assumptions or copying what "looks fast” or “looks cool"—it's rooted in the same computational fluid dynamics methodologies used by Formula 1 teams.
Our CFD Process: A Wind Tunnel in the Cloud
Our development process begins where most companies end—with actual performance data. Every ADRO project starts by running comprehensive CFD analysis on the original equipment manufacturer (OEM) vehicle. We measure baseline downforce, drag, and balance characteristics, and then study the complex flow behavior around the car to identify opportunities for improvement.
Unlike traditional wind tunnel testing, which can cost tens of thousands of dollars per session, our CFD approach leverages AWS cloud computing to run simulations that are more detailed than what F1 teams used just a decade ago and in some cases more advanced than their current methods due to their rule limitations. We're essentially operating a wind tunnel that exists entirely in computer clusters, allowing us to test dozens of design iterations quickly and cost-effectively.
