Rayvo
  • Welcome
  • Sight in
    • What is Rayvo
    • What We Solve
    • Get Started
    • Why Rayvo Leads
    • What is SightFi?
      • Value of Data
      • Digital Identity
      • Cryptocurrency Payments
      • Multi-Dimensional Data（POV Data)
  • Potential and Edge
    • Rayvo Protential
      • Unique Value Proposition
      • Broad Application Scenarios
      • Early Adopter Advantage
  • Products Introduction
    • Smart Glasses
    • Rayvo One
      • Features
      • Product Parameters
    • Rayvo Companion App
    • Data Refracter Lens
    • Genesis Data Refracters
    • Ring: Rayvo Ecosystem Component
  • Busiess Model
    • Key Pillars of the Business Model
    • Core Value Proposition
  • RoadMap
    • ROADMAP
  • Token Introduction
    • What is $RVO
    • Earning Methods
    • Tokenomics
    • DAO Governance
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On this page
  • Unfair Value Capture of User Data
  • Data Privacy Risks
  • Bridging the Gap to Web3
  • Lack of Personalized AI Interaction
  • Monopolization of Data Control
  • Limited Use Cases for Smart Glasses
  • Lack of Ecosystem Synergy
  1. Sight in

What We Solve

Unfair Value Capture of User Data

  • “Wear-to-Earn” economy.

Data Privacy Risks

  • Democratize access to user data.

Bridging the Gap to Web3

  • The seamless interact without requiring deep technical expertise.

Lack of Personalized AI Interaction

  • Personalized AI agent by securely utilizing user-generated data, and building a comprehensive and private user profile.

Monopolization of Data Control

  • Empowers users through a decentralized, user-owned data model.

Limited Use Cases for Smart Glasses

  • Redefines smart glasses with AI-powered, user-centric features.

Lack of Ecosystem Synergy

  • Delivers a holistic ecosystem where hardware, software, and user data work in harmony.

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Last updated 2 months ago