AIX: Redefining the Economics of AI Training Data
2025-07-15 13:10:48

Main Idea
AIX aims to revolutionize AI training data economics by using blockchain to ensure transparency, fair compensation for data contributors, and efficient data trading through tokenization.
Key Points
1. AIX addresses the issue of high-quality AI training data being locked in opaque systems by leveraging blockchain to ensure transparency and fair compensation for contributors.
2. The platform features on-chain copyright management and an AIX Swap for instant pricing and settlement of DataTokens, using AMM pricing without an order book.
3. AIX's tokenomics include a total supply of 1 billion AIX, with allocations for community incentives, core team, strategic investors, partnerships, reserves, and public-good funds, along with a buyback and burn mechanism for 20% of platform revenue.
4. The roadmap outlines key milestones from MVP launch in Q2 2025 to multichain support and privacy features by H2 2026, aiming to streamline AI model development and data usage.
5. AIX emphasizes governance and compliance with optional KYC, regulatory sandbox APIs, and GDPR/CCPA-compliant tools, positioning itself as a transparent backbone for AI data platforms.
Description
This content is provided by a sponsor. PRESS RELEASE. Artificial-intelligence systems don’t run on code alone—they run on data. Yet high-quality, well-labeled, contextual corpora remain locked away in opaque “black boxes”: sources are vague, ownership is disputed, and the original contributors rarely share in the upside. AIX combines blockchain provenance with token incentives to flip
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