Hubic.ai
  • 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
      • Economic Actors & Reward Mechanics
      • Token Flow Diagram
      • Long-Term Sustainability
      • Optional Enterprise Layer
      • Security & Reputation Systems
      • Summary Table
      • Future Expansion Points
      • Final Notes
    • Program Flow Overview
      • Model Registration (One-Time)
      • Inference Request (User Job)
      • Execution Phase (Off-Chain)
      • Verification Phase
      • Rewards & Settlement
      • Optional Extensions
      • Key Takeaways
    • 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
    • Twitter
    • Telegram
    • GitHub
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  1. EMBARK UPON
  2. Introduction

Use Case Examples

PreviousArchitecture OverviewNextHubic AI Hub – Model Registry

Last updated 7 days ago

Hubic enables a wide range of applications across Ethereum-native ecosystems — from DeFi and DAO tooling to RWA monetization and agent-driven automation. Below are key verticals where zk-verified AI outputs can power new economic primitives.

Restaking

Verifiable validator rotation using zk-scored performance metrics.

DeFi

AI-based credit scoring for undercollateralized loans, verified on-chain.

Governance

Agents that propose or vote in DAOs based on cryptographically proven inference.

RWA

Tokenized AI models where each inference generates revenue for token holders.

Trading

AI agents executing market actions with zk-verified rationale, enabling auditable algorithmic strategies.

Data Onboarding

zk-KYC agents that verify identity without leaking private data — used for gated RWA token access.

Subscription AI

Pay-per-inference models where proof-verified outputs are monetized like APIs.

Enterprise Ops

AI agents automating internal decisions (e.g., logistics, insurance pricing) with zk-proven logic.

🌍 RWA-Specific Use Cases:

  • Tokenize AI model performance: Model owners can sell access to model yield as an ERC-20 or fractional NFT.

  • Royalty-backed Agents: Deployed agents can collect task fees, distribute income to stakeholders and report performance on-chain.

  • Audit-friendly Yield Streams: zk-verified logs serve as immutable proof of utility and revenue — essential for real-world adoption and compliance.

  • Decentralized Compute Licensing: Organizations can purchase verifiable compute access, with all usage and earnings transparently recorded via smart contracts.

Hubic enables the real-world financialization of AI, by connecting trustless compute to Ethereum’s programmable money infrastructure.