Topological
ActivePhysics-based foundation models for CAD optimization.
About
Topological is developing physics-based foundation models for CAD optimization. We help hardware teams iterate at the same speed that software teams do. Our technology is accelerating the engineering workflow with AI and scales design and optimization to identify the ideal designs for complex problems given their physical constraints with enhanced speed and performance. Our first model, UToP-v1, is a SOTA topology optimization model that understands physics, geometry, and manufacturability. It can generate the most efficient design given a problem’s physical requirements. It has <5% compliance error and is 1930x faster than current methods. We're reimagining mechanical engineering and computational design with precision spatial AI.
Founders
Nicole Ma· Co-Founder & CEOBuilding Topological (YC S25). Prev. CS/MechE @ Stanford, physics simulations @ NASA
Zeyneb Kaya· Co-Founder & CTOBuilding Topological (YC S25). Prev CS/Physics/Math @ Stanford; research in RL, pretraining, efficient algorithms, synthetic data, physics.