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SkyX (SKYX)

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SkyX is an AI-centric intelligent weather network aiming to reshape the weather industry using Web3 and AI technology.

SkyX White Paper Whitepaper

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Ticker
SKYX
Type
Utility-token
FoundedSingapore
Registration year2024

What is SkyX

SkyX is building a decentralized IoT data network designed to collect, process, and monetize outdoor environmental data at an unprecedented scale.

By deploying a network of advanced weather and environmental sensor devices, starting with the flagship SKY-300 station, SkyX enables the real-time collection of hyperlocal weather and environmental data.

This data powers multiple applications, from AI-driven weather intelligence to climate risk assessment, smart agriculture, energy optimization, and logistics planning. With an API-based data economy, SkyX serves businesses, researchers, and consumers, while ensuring fair rewards for data contributors through blockchain-based Proof of Contribution.

SkyX Roadmap

1
Phase 1 – Network Deployment & Pilot Cities:
  • Initial deployment of SKY-300, SKY-100 and SKY-RAIN01 sensor nodes in pilot cities.
  • Real-world validation of decentralized data collection and transmission.
2
Phase 2 – Decentralized Infrastructure & Tokenomics Launch:
  • Implementation of network incentives for node operators and data contributors.
  • Integration of blockchain-based data verification and monetization mechanisms.
3
Phase 3 – AI & Predictive Analytics Integration:
  • Development of AI-powered forecasting models leveraging SkyX data.
  • Expansion of API services for industry adoption and commercial applications.
4
Phase 4 – Global Network Expansion & Cross-Network Interoperability:
  • Scaling the network to additional regions and industries.
  • Enabling seamless data exchange with other IoT and DePIN ecosystems.

Token Allocation

Total Token Supply 400,000,000 SKYX

Token distribution


40% - Mining Rewards
20% - Team
20% - Investors
10% - Ecosystem
8% - Vendor & Marketing
2% - Public Sale

Project team

Frank Fang
Frank Fang
Project Creator
Frank Fang linkedin-team
Stone Chen
Stone Chen
Head of Hardware Ecosystem
Tope Yang
Tope Yang
Head of Technology
Ting Peng
Ting Peng
Head of Ecosystem
Ting Peng linkedin-team
Joe Chiang
Joe Chiang
Head of AI & Data

Social media

MVP

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