FF Embodied AI · 2026

EAI Data Factory

The one-stop supply platform for embodied AI training data

Real-world data → Brain → Robot ↺ Multi-source data loop
Explore data assets
Positioning

Why a data factory

Data is the core engine of embodied AI. By fusing multi-source data—human, real-robot, and simulation—the EAI Data Factory covers the full lifecycle from pre-training and post-training to real-world closed-loop application, consistently fueling the embodied brain with high-quality, large-scale, multimodal training data.

Real-world data

Multi-source capture · multimodal alignment

→

Brain / Model

Pre-training · post-training

→

Robot / Device

Real-world deployment & execution

Data feedback ↺

New data continuously generated in the field flows back for retraining, forming a self-reinforcing data flywheel.

Data Assets

Four core data assets

Covering the full embodied-AI training pipeline: pre-training, post-training, and the real-world closed loop.

01 / Pre-training

Human data

First-person human manipulation data across industrial, home, and other scenarios; with multimodal time aligned and pre-processed, ready for model pre-training.

Adding third-person human data across education, retail, logistics, and more.

Value Model pre-training
02 / Post-training

Real-robot teleoperation

Primarily from centralized data factories: 1,000 m² of floor space, 50+ real-robot capture rigs, six real-world scenarios, and millions of existing teleoperation trajectories.

Scaling up data volume.

Value Model post-training
03 / Real-world loop

Autonomous robot data

Closed-loop data software developed and deployed.

Primarily from decentralized data factories; built on a leading real-world robot deployment in North America to close the loop: field data → brain → robot.

Value Real-world loop that compounds capability
04 / Pre-training · RL

Simulation data

Synthetic training data generated with Isaac Sim and MuJoCo.

Low-cost, scalable generation of long-tail and high-risk scenarios that fill real-capture blind spots.

Value Pre-training / RL / Sim2Real
Infrastructure

A data factory built at scale

Large-scale capture capability in the physical world is the foundation of high-quality teleoperation data.

1,000 m²
of real-robot capture space
50+
real-robot capture rigs
6
real-world physical scenarios
Millions
of existing teleoperation trajectories
Six real-world scenarios Home Office Retail Dining Industrial Logistics
Centralized

Centralized data factory

Owned and partner facilities producing high-quality teleoperation data at scale to power post-training.

Decentralized

Decentralized data factory

Built on real-world robot deployments in North America, capturing and feeding back field data in place to drive the model loop.

Data assets in detail

From pre-training to the real-world loop

Each of the four data types plays its role, forming the complete path along which the embodied brain evolves.

① Pre-training — human & simulation data

Human data

First-person manipulation

Covers industrial and home scenarios, with multimodal time aligned and pre-processed, ready for pre-training. Third-person view coming next, expanding to education, retail, and logistics.
Simulation data

Isaac Sim · MuJoCo

Low-cost, scalable generation of long-tail and high-risk scenarios that fill real-capture blind spots. For pre-training / RL / Sim2Real.

② Post-training / loop — teleoperation & autonomous data

Teleoperation data

Centralized data factory

1,000 m² of space, 50+ rigs, six physical scenarios, millions of existing trajectories — covering home, office, retail, dining, industrial, and logistics. For model post-training.
Autonomous robot data

Decentralized deployment loop

Built on a leading scale of real-world robot deployment in North America, closing the loop field data → brain → robot to continuously improve the model.
Architecture

EAI Data Factory · Technical architecture

A full-stack data production system — from platform portal to capture, post-processing, and infrastructure.

Data factory platform portal
Data marketplace · on-demand external access to all four data types
Decentralized contributor platform crowdsourced capture · privacy-preserving
Labeling & task orchestration labeling / review / workflow
Quality dashboard · dataset versions metrics monitoring / version control
Access & compliance data security governance
↓
A Data capture four data sources
Human data capture

First/third-person video, multimodal synchronized capture

Output: human manipulation video
Teleoperation capture

Centralized data factory: 1,000 m² · 50+ rigs · six scenarios

Output: teleoperation trajectories
Autonomous capture

Decentralized deployment, field feedback in place

Output: autonomous run data
Simulation generation

Isaac Sim · MuJoCo, long-tail / high-risk synthesis

Output: simulated trajectories
Unified LeRobot standard trajectory format　·　Cross-embodiment ready
B Data post-processing core three-stage pipeline
① Pre-processing & alignment

Multimodal time alignment · denoising · segmentation · sensor calibration

② Extraction & retargeting

Skeleton / keypoint extraction · retargeting · action label generation

③ Labeling · cleaning · validation

Auto-labeling · human QA · model re-validation · dataset assembly

↓
C Infrastructure layer
Centralized data factory·Decentralized deployment network·Simulation platform (Isaac Sim / MuJoCo)·Data lake & object storage·Training compute·Privacy & compliance
Get Started

Book a consultation,
get data samples

Tell us about your scenarios and data needs. Our team will match you with the right human, real-robot, or simulation data assets — and provide samples and an access plan.

  • On-demand access to all four data assets, from pre-training to the real-world loop
  • Unified LeRobot standard trajectory format, cross-embodiment ready
  • Centralized + decentralized data factories for stable supply at scale
1,000 m²
real-robot capture space
Millions
teleoperation trajectories
6
real-world scenarios
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Isaac Sim™ is a trademark of NVIDIA Corporation. MuJoCo™ is a trademark of Google DeepMind. LeRobot is a trademark of Hugging Face. All other product names, logos and brands are the property of their respective owners and are used for identification purposes only; their use does not imply any affiliation or endorsement.