Aerody.AI: The Future of Aerodynamic Testing Is Virtual

Revolutionizing design with AI-powered virtual wind tunnel technology built on 30 years of real-world data.

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30 Years of Wind Tunnel Expertise

Our AI is trained on the most comprehensive aerodynamic dataset ever assembled.

We've digitized decades of physical wind tunnel experiments across all flow regimes.

From subsonic aircraft to supersonic vehicles, our model understands real-world physics.

Virtual Wind Tunnel Technology
Digital Simulation

Advanced computational fluid dynamics enhanced with machine learning predicts airflow with unprecedented speed.

AI-Enhanced Model

Our algorithms learn from historical data to deliver predictive accuracy that matches physical testing.

Real-Time Visualization

See lift, drag, pressure, and flow patterns instantly as you modify designs.

Simple, Powerful Workflow
Upload Your Design

Simply upload your 3D model or scan physical objects for testing.

Run Instant Simulations

Our AI surrogate model predicts performance in seconds, not days.

Optimize Iteratively

Test design variants instantly and fine-tune for optimal aerodynamics.

No specialized training required. Our intuitive interface makes advanced aerodynamic testing accessible to all engineers.

Customer
Lola Yamaha Formula E Team

In pursuit of the extra edge to compete at the top level of electrified motorsport, Lola Yamaha works with Aerody AI to leverage our vast data pool to replace wind tunnel time.

"Working with Aerody AI has allowed us to quickly iterate between designs without having to go into the windtunnel or run expensive time consuming CFD simulations"

Mark Preston, Technical Director, Lola

Team

Neil Ayton - Co-Founder

A serial entrepreneur with a strong go to market record taking ideas from concept to launch. Neil has extensive sales and partnerships experience. This combined with the ability to bring people together to deliver results.

Anthony Poggioli, Ph.D. Co-Founder

A theoretical physicist with over thirteen years of research experience and PhD.'s in computational physics & environmental engineering. Anthony has extensive machine learning experience and is currently focused on the intersection of ML & the physical sciences.


Industries Transformed
Aerospace

Optimize aircraft designs with precise aerodynamic data. Reduce development cycles by months.

Automotive

Reduce drag, improve fuel efficiency, and enhance performance through rapid virtual testing.

Architecture

Simulate wind loads for safer buildings. Design structures that work with natural airflows.

Sports

Enhance equipment and technique with detailed aerodynamic insights. Gain competitive edge.

Ready To Transform Your Design Process?
1
Flexible Pricing

Plans for every organization size, from startups to enterprise. Pay only for what you need.

2
Custom Solutions

Our experts will help integrate our platform into your existing workflows.

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