HOW EDGEGRID WORKS ?
At the core of EdgeGrid’s protocol is the Proof of Spatial Computation (PoSC) network, which turns every XR device into a “spatial neuron.” As users contribute real-world data, it’s immediately processed and fed into AI models, significantly advancing physical perception and accelerating the evolution of robotic intelligence and autonomous driving systems.
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Photon-Level Precision
Each device generates 37GB of spatial data per second, capturing details like material properties, lighting conditions, and spatial relationships, far surpassing the accuracy of traditional LiDAR.
Empowering AI through Real-World Data
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REAL-TIME AI TRAINING
AI models are trained using live, dynamic data from the physical world, rather than static, simulated environments.
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TOKEN-DRIVEN ECONOMY
Users earn $EDG tokens for sharing spatial data, while developers use these tokens to purchase high-quality data for AI training purposes.
The Backbone of AI Evolution
EdgeGrid’s revolutionary technologies are designed to create an AI-centric ecosystem, where the data generated from real-world environments fuels the development of intelligent systems.
Unmatched Data Precision
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300x more accurate than LiDAR, capturing textures, materials, lighting, and depth.
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AI can see, touch, and understand real-world objects in full detail.
Revolutionizing AI Training
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82% reduction in AI model training costs using EdgeGrid’s SDK.
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Developers access real-world, physics-based AI datasets instead of lab simulations.
Global-Scale Decentralized Network
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170,000+ nodes worldwide, powering the first city-scale real-time digital twin in Singapore.
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Industry adoption: Tesla, NVIDIA, and Boston Dynamics leverage EdgeGrid data for autonomous AI development.
DEPIN NEURAL NETWORK
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Environmental Scanning: Devices capture a broad range of physical data, including textures, light, materials, and spatial relationships.
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Data Verification: Privacy is ensured through zero-knowledge proofs, with only validated data being rewarded.
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Earnings Settlement: Users earn $EDG tokens based on data quality and the complexity of the environments they scan.
PROOF OF SPATIAL COMPUTATION(POSC)
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PoSC introduces a three-layer consensus mechanism that ties AI data value directly to physical reality, ensuring that more complex scans, like rainy streets, receive higher rewards, and AI models are trained on the most relevant data.
AI TRAINING PROTOCOL STACK
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Developers use EdgeGrid’s AR SDK to convert real-world properties into AI-readable data, and reserve exclusive AI training rights for specific geographic areas using $EDG tokens.
ECOSYSTEM & TOKENOMICS
$EDG: Powering the Future of Spatial AI
$EDG is the native utility token of EdgeGrid, driving the world’s first decentralized 3D spatial computing protocol. It serves as the backbone of the ecosystem, enabling real-time AI training, data validation, and contributor rewards.
Why $EDG Matters
Fueling the AI Revolution
AI models today rely on simulated data, limiting their ability to understand real-world physics. EdgeGrid changes this by providing hyper-realistic, real-time spatial data, and $EDG is the currency that makes it all work.
Core Functions of $EDG
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Mining Rewards – XR device users earn $EDG for contributing real-world spatial data.
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AI Data Access – Developers use $EDG to train models with real-world physics-based AI datasets.
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Governance & Staking – $EDG holders shape the future of EdgeGrid by voting on key upgrades.
EdgeGrid Vision
Redefining the Relationship Between AI and the Physical World
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A Unified Global Neural Network:
Every XR device acts as a node in the world’s largest spatial intelligence network, creating a continuous stream of real-world data that empowers AI to understand and interact with the environment at the finest level of detail.
A Global Economy for Data Sharing
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Through our tokenized ecosystem, users are compensated for their contributions, and developers gain access to high-value, real-time spatial data for AI training—creating a self-sustaining flywheel of innovation.
AI with True Physical Intuition:
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By mapping the physical world with photon-level precision, EdgeGrid enables AI to gain a deep, intuitive understanding of the environment. This capability is crucial for robotic autonomy, self-driving cars, augmented reality applications, and more.
OUR VISION
EDGEGRID DEVELOPMENT ROADMAP
2023 Q4 - 2024 Q2
Technology Validation and Ecosystem Launch
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Core infrastructure implementation
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Launch of PoSC V1 protocol on the testnet, supporting basic spatial data collection and token mining
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Developer ecosystem development
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Release of spatial data SDK Beta version, integrated into training processes of 10 AI laboratories
2025 Q2 - 2026 Q4
Scale Expansion and Value Loop
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Explosive growth of the node network
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Integration of 10 mainstream AI large models as data procurement partners
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Establishment of a data quality reverse validation mechanism
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Sustainable economic model
2024 Q3 - 2025 Q1
Mainnet Operation and Commercial Breakthrough
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Full launch of the mainnet
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Expansion of hardware ecosystem
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Technical licensing cooperation with mainstream XR manufacturers
2027 Q1 - 2028 Q4
Industry Standards and Global Services
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Development of technical standards
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Become a core contributor to the IEEE P2863 standard
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Global service network
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Cover 90% of primary city infrastructure digital transformation
$EDG Public Sale Key Details
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Token: $EDG (1B total supply, no inflation)
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Sale Allocation: 10M tokens (1% of the Strategic Reserve)
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Price: $0.1 per token
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Wallet Limit: 2,000 $EDG per wallet
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Unlock Schedule: 20% released at TGE, remaining 80% vested over 24 months
