Company
Three Stanford graduates, one narrow obsession.
Embodied Data Systems, Inc. was founded to solve the data problem standing between today’s models and machines that can work in the physical world.
Who we are
Building core infrastructure for physical AI — quietly, and at the edge of what robots can learn.
Embodied Data Foundry Inc. is a stealth-mode startup founded by two Stanford graduates. We work across wearable hardware, sensing, and machine learning, and we share one conviction: the bottleneck for physical AI is not models — it is data.
We keep a low public profile by design. Details about our systems, partners, and roadmap are shared selectively under NDA.
How We Work
- Hardware and ML under one roof
- Field testing over lab demos
- Fewer people, more ownership
- Ship quietly, measure everything
Team
The founding team
Individual profiles remain private while we are in stealth. Full backgrounds are shared directly with partners, collaborators, and candidates.
Founder — Robotics
Manipulation, control, and humanoid systems.
Founder — Machine Learning
Imitation learning and vision-language-action models.
Founder — Hardware
Wearable sensing, sensor fusion, and edge compute.
Embodied Data Systems, Inc.
A stealth-mode company building real-world data infrastructure for embodied intelligence. Founded by two Stanford graduates working at the intersection of wearable hardware, perception and robot learning.
Status
Stealth mode
Focus
Physical AI infrastructure
Founded by
Three Stanford graduates