The Data Engine for Embodied AI.
We capture and structure high-fidelity human motion data, so robots can learn to see, move, and act like humans.
0100 PROBLEM
Robots are coming. But they can't learn without human data.
AI models have transformed language and vision, but embodiment remains stuck in the lab. To train general-purpose robots, we need structured, scalable demonstrations of real-world human movement and manipulation. That’s where Embodi comes in.
0200 SOLUTION
Embodi turns human demonstrations into training-ready datasets.
We capture high-resolution motion, perspective, and force data using lightweight wearable systems. Our platform transforms signals into structured formats optimized for embodied AI:
— Dexterous manipulation
— Real-world interaction
— Multi-robot generalization
— Simulation and fine-tuning
0300 PLATFORM
We’re building a complete, modular platform for data-driven robot learning.
We’re developing lightweight wearables to capture natural human motion, force, and perspective during task demonstrations. This data is processed offline, mapped to different robot embodiments, and delivered as structured, learning-ready datasets.
The platform outputs three key data streams.
Embodiment-mapped Data
Robot-compatible vision and motion sequences aligned to the target task.
001
Synthetic
Data
Simulation-augmented data to increase diversity and improve generalization.
002
Latent Action Tokens
Human intent sequences formatted for downstream learning and control.
003
