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    • Introduction
      • Proof-of-Inference (PoI)
      • Proof-of-Weights (PoWg)
      • Why Hubic?
      • Main Actors and Their Roles
      • Architecture Overview
      • Use Case Examples
      • Hubic AI Hub – Model Registry
      • RWA Integration
    • Registry & System Architecture
      • Sovereign AI Agents (On-chain AI Logic Executors)
      • Liquid Strategy Engine (LSE)
      • Proof-of-Weights (PoW2)
      • Governance System
      • Hubic Intelligence Hub (Expanded)
      • Visual System Map
    • Economic Model
      • HUB Token Utility
      • Economic Actors & Reward Mechanics
      • Token Flow Diagram
      • Long-Term Sustainability
      • Optional Enterprise Layer
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      • Final Notes
    • Program Flow Overview
      • Model Registration (One-Time)
      • Inference Request (User Job)
      • Execution Phase (Off-Chain)
      • Verification Phase
      • Rewards & Settlement
      • Optional Extensions
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    • Real-World Use Case Example
      • Introduction
      • Problem Statement
      • System Actors
      • End-to-End Flow: DAO Delegation Automation
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  1. EMBARK UPON
  2. Introduction

RWA Integration

PreviousHubic AI Hub – Model RegistryNextRegistry & System Architecture

Last updated 6 days ago

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:

Feature
Description

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:

  1. Model is registered in the Hubic zkRegistry.

  2. RWA token (ERC-20 or NFT) is issued, representing model ownership or yield rights.

  3. Each inference:

    • Is verified by Ethereum smart contracts.

    • Triggers royalty distribution to token holders.

    • Updates on-chain usage history and revenue metrics.

  4. 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.