FF EAI Robotics
EAI Device · EAI Brain & Open-Source and Open Platform · EAI Data Factory
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Scalable, deliverable embodied AI devices—including humanoid and bionic robots—designed for real-world deployment at scale
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A universal embodied AI brain built on foundation models, agents, and skills, delivered through an open and open-source developer platform to unite and empower the ecosystem
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The one-stop supply platform for embodied AI training data
Scalable, deliverable embodied AI devices—including humanoid and bionic robots—designed for real-world deployment at scale
Full-Size Professional EAI Humanoid Robot, an all-around expert for professional roles
Athletic EAI Humanoid Companion, an all-intelligence action master that truly understands you
Professional, embodied-AI quadruped robot designed for security and companionship
A universal embodied AI brain built on foundation models, agents, and skills, delivered through an open and open-source developer platform to unite and empower the ecosystem.
The one-stop supply platform for embodied AI training data
A cross-form-factor EAI data foundation combining Web2 monetization with Web3 data assets, enabling a decentralized, data-driven business model.
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.
Large-scale capture capability in the physical world is the foundation of high-quality teleoperation data. Six real-world scenarios: Home · Office · Retail · Dining · Industrial · Logistics.
A full-stack data production system — from platform portal to capture, post-processing, and infrastructure.
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. Throughout the entire process of data collection, processing, storage, and use, we always operate in full compliance with applicable laws and regulations.
Covering the full embodied-AI training pipeline: pre-training, post-training, and the real-world closed loop.
Pre-training — 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.
Post-training — 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.
Real-world loop — 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.
Pre-training · RL — 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.
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.