PhysicsX's LGM: A New Way to Design High-Performance Components

Designing high-performance components shouldn't mean tweaking thousands of mesh vertices or relying on rigid CAD parameterizations. At PhysicsX, we've built a Large Geometry Model (LGM) that learns compact, data-driven representations of complex geometries, enabling faster and more efficient design, simulation, and optimization. It's a new foundation for geometric reasoning in engineering: • Replace mesh-heavy models with lightweight latent surrogates • Optimize directly in the latent space, not over thousands of vertices • Quantify uncertainty, accelerate iteration, reduce simulation cost • Learn geometric priors from data, not hand-tuned parameters This approach dramatically shortens design cycles, especially in low-data environments where guesswork is costly. Jamie Donnelly shared more insights on how our LGM works and why it matters 👉 https://lnkd.in/dPBq_VAd 📢 PhysicsX is hiring! Come build the AI-native software stack for the future of engineering and manufacturing: https://lnkd.in/dJ8y7975