FF EAI Robotics
FF “Three-in-One” EAI Robotics Ecosystem Strategy, Technology & Product
EAI Device · EAI Brain & Open-Source and Open Platform · EAI Data Factory
Three-in-One
01
EAI Device
Scalable, deliverable embodied AI devices—including humanoid and bionic robots—designed for real-world deployment at scale
02
EAI Brain & Open-Source and Open Platform
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
03
EAI Data Factory
The one-stop supply platform for embodied AI training data
EAI Device
Scalable, deliverable embodied AI devices—including humanoid and bionic robots—designed for real-world deployment at scale
FF Futurist
Full-Size Professional EAI Humanoid Robot, an all-around expert for professional roles
Learn More
FF Master
Athletic EAI Humanoid Companion, an all-intelligence action master that truly understands you
Learn More
EAI Brain & Open-Source and Open Platform
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.
EAI Data Factory
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.
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.
A data factory built at scale
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.
- Centralized data factory — Owned and partner facilities producing high-quality teleoperation data at scale to power post-training.
- 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.
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 · Quality dashboard & dataset versions · Access & compliance
- Layer A — Data capture (four data sources) — Human data capture · Teleoperation capture · Autonomous capture · Simulation generation. Unified LeRobot standard trajectory format · cross-embodiment ready
- Layer B — Data post-processing core — ① Pre-processing & alignment · ② Extraction & retargeting · ③ Labeling, cleaning, validation
- Layer C — Infrastructure — Centralized data factory · Decentralized deployment network · Simulation platform (Isaac Sim / MuJoCo) · Data lake & object storage · Training compute · Privacy & compliance
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.
A data factory built at scale
- 1,000 m²
- of real-robot capture space
- 50+
- real-robot capture rigs
- 6
- real-world physical scenarios
- Millions
- of existing teleoperation trajectories
Four core data assets
Covering the full embodied-AI training pipeline: pre-training, post-training, and the real-world closed loop.
Human data
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.
Real-robot teleoperation
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.
Autonomous robot data
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.
Simulation data
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.
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.