EveryAI
  • Welcome to EveryAI
  • Introduction
    • DeepSeek's Breakthrough Revelation
    • About EveryAI
  • Technology
    • Technical Architecture
  • Tokenomic
    • EveryAI Tokenomics
  • Development
    • Use Cases
    • Roadmap
  • Conclusion
    • Conclusion & Vision
    • Contact Us
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  1. Development

Use Cases

Regardless of individual, enterprise, or developer use cases, EveryAI demonstrates the disruptive value of a decentralized AI network in inclusivity, compliance, and openness, providing a benchmark for Web3 and AI integration.

1. Individual Users: Low-Cost AI Content Creation

Individual users can quickly generate high-quality content (such as articles, images, short videos) without subscribing to expensive closed-source APIs (like Midjourney, ChatGPT Plus).

2. Enterprise Clients: Cross-Institutional Medical Data Collaboration

Hospitals, pharmaceutical companies, and research institutions can collaboratively train high-precision AI diagnostic models while protecting patient privacy.

3. Developers: Open-Source Model Ecosystem Co-Construction

Developers can deploy self-developed AI models (such as niche language translation, ancient artifact restoration AI) to the EveryAI network, earning revenue based on usage.

Use Case

Key Requirements

EveryAI Solution

Quantified Benefits

Personal Content Creation

Low-cost, privacy, ease of use

DePIN resource sharing + AI Agent automation

90% cost reduction

Medical Data Collaboration

Compliance, inter-institutional collaboration, cost reduction

Federated learning + Dynamic resource pool

70% training cost reduction, 7% accuracy improvement

Developer Ecosystem

Open-source monetization, long-tail support

Model marketplace + Federated fine-tuning + DAO governance

85% revenue sharing

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Last updated 4 months ago