About EveryAI

Project Introduction

EveryAI is the first decentralized AI service network combining DePIN and AI Agent technologies, aimed at providing low-cost, high-privacy, efficient, and open collaborative AI services through global idle computing resources (such as personal computers, mobile phones, IoT devices, etc.). The project's core philosophy is "AI Everyone, Power to Everyone", seeking to break through centralized computing power monopolies and data hegemony, enabling users to be not just consumers of AI services, but also network builders and beneficiaries.

Key Features

Inclusive AI: By utilizing idle resources, dramatically reduce AI service costs, enabling individuals and enterprises to easily access AI capabilities.
Privacy First: Employing federated learning, homomorphic encryption, and other technologies to ensure data is processed locally, preventing privacy leaks.
Intelligent Agency: AI Agents automate task allocation and execution, providing personalized recommendations and optimizing user experience.
Physical Resource Network: Based on DePIN principles, constructing a decentralized physical infrastructure network that incentivizes users to contribute resources and receive token rewards.
Cross-Chain Support: Based on BSC and supporting multi-chain interactions to break ecosystem barriers.

EveryAI's vision is to make AI capabilities ubiquitous like water and electricity - instantly accessible, truly realizing "AI for Everyone".

Core Innovations

（1）DePIN × AI: Revolutionary Integration of Physical Resources

Idle Devices Become Computing Nodes: Transforming the idle computing power of billions of global devices (with an average daily utilization rate of less than 5%) into AI inference resources.
Dynamic Resource Pool: Using smart contracts to real-time match task requirements with device capabilities (such as GPU model, memory, network latency).
Chip Blockade Resistance: Supporting heterogeneous chip hybrid computing, reducing dependence on NVIDIA GPUs.

（2）AI Agent: Intelligent Intermediary Restructuring User Experience

Task Automation: Users describe needs in natural language, and Agents automatically decompose tasks, select models, and allocate resources.
Context Awareness: Providing personalized services based on user historical behavior and local data (e.g., prioritizing compliant nodes for medical diagnosis).
Privacy Custody: Agents manage data encryption and federated learning processes, eliminating technical complexity for users.

（3）Open Source Community × Economic Model: Flywheel Ecosystem

Model Marketplace: Developers can upload open-source models (like DeepSeek, Llama 3), sharing revenue based on usage.
Federated Fine-Tuning: Optimize models in encrypted environments using local user data, feeding back to the public model library.
Decentralized Governance: Community decides network upgrades, resource pricing, and ecosystem fund allocation through DAO voting.

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Last updated 1 month ago

Project Introduction

Key Features

Inclusive AI: By utilizing idle resources, dramatically reduce AI service costs, enabling individuals and enterprises to easily access AI capabilities.

Privacy First: Employing federated learning, homomorphic encryption, and other technologies to ensure data is processed locally, preventing privacy leaks.

Intelligent Agency: AI Agents automate task allocation and execution, providing personalized recommendations and optimizing user experience.

Physical Resource Network: Based on DePIN principles, constructing a decentralized physical infrastructure network that incentivizes users to contribute resources and receive token rewards.

Cross-Chain Support: Based on BSC and supporting multi-chain interactions to break ecosystem barriers.

EveryAI's vision is to make AI capabilities ubiquitous like water and electricity - instantly accessible, truly realizing "AI for Everyone".

Core Innovations

（1）DePIN × AI: Revolutionary Integration of Physical Resources

Idle Devices Become Computing Nodes: Transforming the idle computing power of billions of global devices (with an average daily utilization rate of less than 5%) into AI inference resources.

Dynamic Resource Pool: Using smart contracts to real-time match task requirements with device capabilities (such as GPU model, memory, network latency).

Chip Blockade Resistance: Supporting heterogeneous chip hybrid computing, reducing dependence on NVIDIA GPUs.

（2）AI Agent: Intelligent Intermediary Restructuring User Experience

Task Automation: Users describe needs in natural language, and Agents automatically decompose tasks, select models, and allocate resources.

Context Awareness: Providing personalized services based on user historical behavior and local data (e.g., prioritizing compliant nodes for medical diagnosis).

Privacy Custody: Agents manage data encryption and federated learning processes, eliminating technical complexity for users.

（3）Open Source Community × Economic Model: Flywheel Ecosystem

Model Marketplace: Developers can upload open-source models (like DeepSeek, Llama 3), sharing revenue based on usage.

Federated Fine-Tuning: Optimize models in encrypted environments using local user data, feeding back to the public model library.

Decentralized Governance: Community decides network upgrades, resource pricing, and ecosystem fund allocation through DAO voting.