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