RWA Integration
Hubic natively supports the tokenization of AI models and agents as Real World Assets (RWAs) — enabling the protocol to transform verifiable inference into measurable, on-chain income streams.
Models are no longer just code — they become tokenized digital assets that generate yield, accrue value and operate under cryptographic transparency.
🧩 Core RWA Features:
Tokenized Ownership
Models can be fractionalized as ERC-20 or ERC-721 assets.
Usage-Based Yield
Every inference triggers on-chain royalty distribution to token holders.
zk-Verified Metrics
Revenue is based on cryptographically proven model activity.
Royalty Automation
Smart contracts distribute revenue per usage, without intermediaries.
DAO-Governed RWA Models
Model rights and fee structures can be governed by tokenized communities.
🏦 Example RWA-Backed Assets:
HUBIC-RWAx: AI model that performs 10,000 daily inferences; token holders earn 60% of collected fees.STRATEGY-NFT: On-chain yield strategy managed by an AI agent; NFT holders receive 70% of yield generated.GOV-BOT-DAO: DAO that owns a governance-focused AI agent; proposal participation rights are tokenized and tradable.
🔁 Lifecycle of an RWA Model:
Model is registered in the Hubic zkRegistry.
RWA token (ERC-20 or NFT) is issued, representing model ownership or yield rights.
Each inference:
Is verified by Ethereum smart contracts.
Triggers royalty distribution to token holders.
Updates on-chain usage history and revenue metrics.
Optional DAO governance modules allow:
Dynamic fee adjustment.
Voting on model upgrades or deprecation.
Shared ownership or revenue splits via staking contracts.
🧠 Why This Matters:
Hubic doesn't just verify AI — it monetizes it! Every interaction is a provable event. Every agent is a programmable RWA. Every inference is a financial micro-output, composable across DeFi, DAO and enterprise rails.
With this model, AI becomes a productive asset class on Ethereum, where compute equals capital.
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