For the happiness of every family
A physical-AI company built for the home. Our in-house world model keeps the robot evolving inside real families.
Wheeled dual-arm robot P1
A home robot that moves and manipulates with two arms. First-generation skills: conversation, tidying the desk, playing Gomoku.
MicroDuck
A desktop bipedal duck. It walks, sees and makes faces; children run balance and gait experiments on it and teach it motions by hand.
Three parts, one self-evolving robot
The interactive operation platform carries human-robot interaction and skill delivery; SuperBrain evaluates and corrects the world model; the body brings that intelligence into the home. Task generation, training, evaluation and real-robot regression run automatically — humans only approve.
Interactive operation platform
Voice interaction, teleoperation, motion replay and synchronized capture. Skills land here — and so does the data.
SuperBrain
Evaluation and correction for the world model: imagine before acting, score and rank candidate actions, block unsafe ones, and fold real-robot outcomes back in.
The body
Brings intelligence into the home. Affordable, child-safe, updated over the air every month.
Bringing truly intelligent robots into every home
OriginX AI is a physical-AI company focused on the home. With our in-house world model at the center, we build a complete, self-evolving ecosystem around four elements — model, real-robot data, body and scene. The interactive operation platform carries human-robot interaction and skill delivery, SuperBrain handles world-model evaluation and correction, and the body brings that intelligence into the home. Together they fuse model, data and hardware into a business flywheel that gets stronger with use.
The home is the most complex and most demanding setting for embodied robots. We want a disruptive experience that brings genuinely intelligent robots into ordinary households and adds to the happiness of every family. Our core team comes from Rice, Cornell, UC Irvine and Fudan, with experience at NASA and Lightwheel, and brings leading technical depth in physical AI and world models together with hands-on industrial delivery.
Model
Our own world model: imagine, then act.
Real-robot data
Successes, failures and corrections from real homes.
Body
A home robot families can afford and children can use.
Scene
Starting with growing up alongside a child.
Four people, four lanes
Technology / commercialization / marketing and fundraising / safety — each with an owner.
Head of Shanghai hardware & simulation and World Model Research Leader at Lightwheel; Rice Kavraki Lab, NASA internship, former senior algorithm engineer at Baidu.
12 years in cloud and AI industrialization; supply chain, channels and delivery at scale.
Cornell ECE MEng; employee #2 at Jingya Capital, backed eSign and Zilliz; co-founder of Vland, funded by Sequoia and Shunwei.
PhD in Mathematics, UC Irvine · MCS, Rice; optimization, planning, control and real-robot reliability testing.
Put robots in every home, with us
Partnerships, supply chain, investment — or if you want to join us — reach out directly.