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Topological

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Physics-based foundation models for CAD optimization.

Summer 2025Founded 20252 peopleSan Francisco, CA, USA
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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 Β· 2

Nicole Ma
Nicole MaCo-Founder & CEO
Stanford

Building Topological (YC S25). Prev. CS/MechE @ Stanford, physics simulations @ NASA

Zeyneb Kaya
Zeyneb KayaCo-Founder & CTO
Stanford

Building Topological (YC S25). Prev CS/Physics/Math @ Stanford; research in RL, pretraining, efficient algorithms, synthetic data, physics.

B2BEngineering, Product and DesignReinforcement LearningRoboticsDesign Tools3D PrintingAI

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