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The future of engineering won't be defined by running more simulations. It will be defined by making better engineering decisions, faster.
Every breakthrough in engineering begins with a question. What if we explored another design? What if we tested another configuration? What if we could understand the trade-offs faster?
For the teams building the world's most advanced and complex physical systems, those questions are often constrained by one thing: time.
Whether designing an America's Cup racing boat, a next-generation aircraft, or semiconductor equipment, engineering teams across the world's most critical industries face the same challenge. Traditional simulation workflows are powerful, but they are also computationally intensive, making it difficult to explore more than a small fraction of the possible design space.
That's why PhysicsX is partnering with GB1, Britain's America's Cup team.
Together, we're demonstrating how physics AI can fundamentally change the way aerodynamics engineers design, optimize, and innovate.
Aerodynamics Engineering at the Edge
The America's Cup has always been as much an engineering competition as a sailing competition. Every component must be optimized, every trade-off matters, and every design decision influences countless others.
The result is one of the most technically demanding engineering environments in the world.
“These boats are very high-dimensional as a design problem. There's an incredible number of states the boat can sail in: If you multiply all of these variables together, you end up with this enormous array of permutations and combinations in the design space,” said Nick Holroyd, Head of Design at GB1.
Success isn't determined by one breakthrough. It's the product of thousands of engineering decisions, each balancing complex and often competing objectives.
That challenge is familiar far beyond competitive sailing.
Across aerospace & defense, automotive, semiconductors, energy, advanced manufacturing, and other industrial sectors, organizations are under growing pressure to develop better products on increasingly compressed timelines. Engineers are expected to explore more possibilities, reduce development costs, and innovate faster than ever before — all while maintaining the highest standards of performance and reliability.
Expanding What's Possible with Physics AI
For decades, numerical simulation has been the foundation of engineering innovation. But as hardware becomes increasingly more complex, slow and expensive simulation turns into a bottleneck.
PhysicsX is changing that by moving numerical simulation to AI inference.
Our platform enables GB1’s aerodynamics engineers to train Large Physics Models on simulation and experimental data, allowing them to predict physical behavior in seconds rather than hours or days, analyzing multiple dimensions of physics simultaneously. Instead of evaluating dozens of design options, teams can explore thousands.
The goal isn't to replace engineering expertise, but to empower engineers with the platform that unlocks their potential.
“The America's Cup represents an incredibly high complexity domain — it's exactly where we want to play. The whole idea here is to implement software that is going to change the pace of innovation. Which is what we're doing a lot of other contexts, but it's at the heart of our partnership with GB1,” said Jacomo Corbo, CEO & Co-Founder of PhysicsX.
Transforming Engineering, Not Just Accelerating Simulations
The collaboration between PhysicsX and GB1 extends beyond accelerating individual analyses.
Together, we're building AI-native workflows that enable engineers to iterate faster, explore larger design spaces, and make better-informed decisions throughout the development process.
Rather than treating AI as another software tool, we're integrating it directly into the aerodynamics engineering workflow, helping generate data, train models, evaluate designs, and surface insights that would otherwise take significantly longer to uncover.
“GB1 really care about that last 0.1% of performance. And, that's the bar for us. The PhysicsX platform is an AI-native platform purpose-built for engineering, and with GB1, we've built an aerodynamics simulation and design optimization workflow that's opening doors that the team just haven't had the time to explore previously,” said David Wheater, Technical Director at PhysicsX.
The result is a fundamentally different way of approaching engineering: one that prioritizes exploration, learning, and rapid iteration.
A Glimpse of Engineering's Future
The aerodynamics engineering challenges facing Britain's America's Cup team may be unique, but the underlying opportunity is universal. Every organization designing the next-generation hardware that powers the world's most critical industrial sectors faces increasing pressure to build faster while managing growing complexity.
Physics AI is the new way forward. By moving from numerical simulation to AI inference, engineers can explore dramatically larger design spaces, accelerate decision-making, and unlock entirely new possibilities for innovation.
Our partnership with GB1 offers a glimpse of what that future looks like.
Not simply faster engineering, but a fundamentally new way of designing, building, and operating the world's most advanced physical systems.
“Working with Jacomo and Dave and the team at PhysicsX has just really been a joy. The contribution they're making is really impressive. The technology is unbelievable. It's a real game changer,” said Sir Ben Ainslie, Team Principal at GB1.
Watch our recent film to hear directly from the engineers and leaders behind the PhysicsX and GB1 partnership, and explore how physics AI is helping shape the future of engineering.