Hubic
  • Hubic AI
  • EMBARK UPON
    • 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
    • Token Flow Diagram
    • Long-Term Sustainability
    • Optional Enterprise Layer
    • Security & Reputation Systems
    • Future Expansion Points
    • Final Notes
  • Real-World Use Case Example
    • Introduction
    • Problem Statement
    • System Actors
    • End-to-End Flow: DAO Delegation Automation
    • Benefits to DAO Operations
    • Extensions & Advanced Use
  • HUBIC ECONOMIC ENGINE
    • Tokenomics
    • Roadmap
  • LINKS
    • Website
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  1. EMBARK UPON
  2. Introduction

RWA Integration

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Last updated 4 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:

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.