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Topological

Topological

Summer 2025

Physics-based foundation models for CAD optimization.

Reinforcement LearningRoboticsDesign Tools3D PrintingAI

About Company

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.

Active Founders

Nicole Ma

Nicole Ma

Co-Founder & CEO

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

Zeyneb Kaya

Zeyneb Kaya

Co-Founder & CTO

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

Company Facts

LocationRemote
Team Size2
Founded2025
StatusActive