COCO Matrix

COEXIST · COWORK · COLLABORATE · COEVOLVE

Building Physical AGI in real-world.

About COCO Matrix

COCO Matrix is founded by a team passionate about ROBOTS and AI. We believe: instead of enumerating the vast physical world in advance, robots should adapt and learn as they do.

Based on this, COCO Matrix has chosen its own direction: In-Context Learning (ICL). We turn the real world into rich "CONTEXT," where robots can learn more immersively, more efficiently, and more intuitively — a paradigm shift that profoundly excites and motivates us.

We want our robot models to reach an unprecedented level of learning efficiency: starting from world representation learning, so robots see more clearly and remember for longer, turning past demonstrations, corrections, and experience into the "CONTEXT" for solving the next problem.

On top of that, our models gain the ability to define their own ecosystem — deciding what data, what interactions, and what kind of robot they need — so data, hardware, and models co-evolve around the robot's learning capacity.

Eventually, human-robot interaction becomes second nature: anyone can be a robot's teacher, and the robot becomes your best partner. We're excited to build a future of human-robot co-creation together with you.

Robots for all, shaped by all.

Four Technical Dimensions of Real-World Robot Deployment Four capabilities flow into the central robot — world model representation, in-context learning, learning from human, and human-robot collaboration — culminating in real-world deployment. World Model Representation In-Context Learning Learn from Human Human-Robot Collaboration REAL-WORLD DEPLOYMENT
World Model Representation
In-Context Learning
Learn from Human
Human-Robot Collaboration

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We're hiring across data, model training and product. See open roles and apply directly on our Feishu recruiting page.

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