INDUSTRY AFFILIATIONS
We turn 3D assets into training data, perception models, and lifecycle intelligence — so autonomous systems can operate where real-world data is scarce, dangerous, or impossible to collect.
Matthew Schwieger is Co-Founder & CEO of Zuru Automation, building the synthetic data layer powering next-generation physical AI. With a background in computer vision startups and education from Stanford University and INSEAD, he is focused on enabling scalable, simulation-driven autonomy across defense, energy, and industrial environments.
Yu-Feng Wei is Co-Founder & CTO of Zuru Automation, architect of its patented ML method for synthetic data generation from vectorized 3D models. He holds a PhD in Mechanical Engineering from MIT, is a veteran of the Republic of China Marine Corps (Taiwan), and brings two decades deploying machine vision AI across manufacturing, clinical imaging, and industrial systems — rare depth at the intersection of simulation, perception, and real-world defense environments.
Real-world training data is scarce and impossible to collect at scale — especially in defense and critical infrastructure environments.
We're raising seed to build the data infrastructure that makes autonomous systems deployable at scale — in defense, energy, and industrial environments where real-world data cannot be collected.
