Mai Bui has decades of experience building and launching hardware products in aerospace, automotive, robotics, and consumer products. She started her career at SpaceX and Tesla and was the founding mechanical engineer at an IoT startup in San Francisco. She then transitioned into hardware program and product management. In 2023, she co-founded Quarter20, a CAD-connected platform to unlock AI for hardware.
Mai holds a B.S. in Materials Science and an M.S. in Mechanical Engineering, both from Stanford University. She also holds an M.B.A. from UCLA Anderson.
You have invested in connecting CAD to your other workflow systems in hopes of creating a continuous flow of mission-critical data. But somewhere in a shared drive, a locally saved PDF, or an engineer's inbox, there's a parallel universe of untapped data — work instructions, PRDs, maintenance manuals, install guides — that your systems can't read, your LLMs can't parse, and your workflows can't touch. It's the largest untapped data source in hardware, and most teams don't even know they're sitting on it. This presentation examines how documentation has become the largest untapped data source in hardware and manufacturing, and what it takes to change that. Whether you're trying to feed better context into AI workflows, reduce tribal knowledge loss, or close the gap between engineering intent and production reality, the answer is probably already written down somewhere. This talk will show you how to find it.