EdgeGrid Introduction

EdgeGrid is the world's first DePIN-driven 3D spatial computing protocol. By leveraging an XR hardware network, it continuously scans the physical world in real time to generate AGI-grade digital twins, providing photon-level precision data sources for autonomous driving and humanoid robots.

“We are building the Starlink moment for spatial computing.” Through a globally deployed XR hardware network, we map the physical world into AGI-comprehensible digital twins in real time. Every user wearing a device acts as a "spatial neuron" in the DePIN network. Under the Proof of Spatial Computation (PoSC) mechanism, the photon data collected by users can directly train embodied AI models such as autonomous driving systems and humanoid robots.

Three Key Breakthroughs:

① Data Supremacy – Each device generates 37GB of spatial semantic data per second, far exceeding LiDAR accuracy.

② Computational Revolution – By integrating our SDK, AGI developers reduce model training costs by 82%.

③ Explosive Ecosystem Growth – The Spatial Computing Alliance, co-founded with NVIDIA, has already onboarded 170,000 nodes.

This is an unprecedented dimension for the Web3 industry—where wireless networks meet spatial intelligence, $EDG will become the gateway for AI to consume the physical world.

Foreword – Unlocking the Encrypted Dimension of Reality

Imagine this: as you walk down the street wearing XR glasses, every glance at a building and every touch of a tree leaf contributes to training AI’s most powerful "digital senses." This is the future EdgeGridis creating—where everyone becomes a "real-world guide" for AI evolution.

Why Does the World Need EdgeGrid?

Today, autonomous vehicles still struggle to recognize road signs reflecting light in the rain, and humanoid robots cannot perceive the texture of a glass like humans do. The core issue? AI lacks "intuition" about the physical world.

EdgeGrid’s XR device network is weaving a "reality scanning web" across the globe:

• 🌍 Each device is a super sensor – Providing 300x more precise environmental scanning than LiDAR used in autonomous vehicles.
• ⚡ Instant data value conversion – The coffee shop corner you scan could be training the next generation of Boston Dynamics robots.
• 🔑 Token-driven contributions – Users earn $EDG tokens by sharing spatial data, while developers use tokens to access high-quality training materials.

Three Game-Changing Advantages

1. Turning Reality into AI’s Textbook

Each device generates 37GB of environmental data per second—equivalent to 20 hours of HD video—capturing details like lighting, materials, and spatial relationships, enabling AI to truly understand the physical world.

2. Transforming Hardware into a Goldmine