Blockchain-powered BELLE revolutionizes financial insights through decentralized data.
5% of revenues in EGNI are burned. Slashed tokens from invalid submissions will also be burned.
EGNI tokens are required for data submission to the BELLE network.
Get 20% off data purchases when paying with EGNI.
Token holders influence the platform’s future and development direction.
Total EGNI token allocation across key segments with specific lockup mechanisms and distribution schedules.
The distribution structure ensures long-term sustainability through strategic lockups and vesting schedules, while maintaining immediate accessibility for early presale participants.
Liquidity Available Immediately - 50% of the Presale
Liquidity tokens are burned so that liquidity is permanently locked up
2-Year Vesting
Designed to ensure long-term alignment with project success.
Distribution controlled through governance
Budget allocated per proposal and distributed based on community participation.
Always required to post collateral to access this token pool.
Tokens remain locked to ensure continuous access control and reduce circulating supply.
Distributed evenly over 1 year.
Used for infrastructure scaling, AI development, and decentralizing storage.
This hierarchical structure ensures controlled token distribution while maintaining long-term platform sustainability through strategic lockups and vesting schedules.
- Trading Data
- Qualified Data
- Regime labeling
- Trading information
- Sentiment label for social media and news outlets
Crowdsourcing gathers data from diverse demographics, geographies, and expertise levels, which is critical for reducing bias in ML models.
Enables the collection of vast amounts of data quickly and cost-effectively.
Crowdsourced platforms can continuously generate new data, ensuring that datasets remain up-to-date and relevant.
Crowdsourcing allows access to specialized or less commonly available data.
Enables labeling of massive datasets in a short timeframe.
Crowdsourcing is often cheaper than hiring in-house teams for large-scale labeling tasks.
Labeling tasks can be tailored to specific requirements, such as bounding boxes for images, sentiment analysis for text, or transcription for audio.
Crowdsourced labelers bring different perspectives, reducing biases in labeling tasks.
Real-time decentralized data submission and validation. Early onboarding for contributors and validators
Expansion to predictive financial tools and external AI applications.
Staking bonuses for long-term participants. Advanced governance features for token holders.
Broadened reach through cross-chain data submissions and validations.
Choose your investment amount based on your goals and risk tolerance.
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Join the EGNI Private Presale and be a part of the future of finance.
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EGNI Token Economy