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
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Extensions & Advanced Use

PreviousBenefits to DAO OperationsNextTokenomics

Last updated 6 days ago

The DAO delegation use case is just one vertical. Hubic’s composable architecture enables DAOs and RWA token holders to expand the model far beyond validator selection — into a general framework for intelligent, revenue-generating on-chain infrastructure.

🌐 Multi-Chain Delegation

  • Extend model logic to support validator reallocation across:

    • Ethereum mainnet

    • L2s like Arbitrum or Optimism

    • Restaking via EigenLayer or Babylon

  • Bridge results and proofs using cross-chain messaging (e.g. LayerZero, Axelar).

🧠 Multi-Agent Pipelines

  • Combine agents for delegation, governance, and treasury logic:

    • RestakeAgent → validator allocation

    • GovBot → DAO proposal generation

    • YieldBalancer → treasury rebalancing

  • All coordinated via zk-proven inputs and shared state commitments.

⏱ Epoch-Based Automation

  • Use slot or epoch triggers to:

    • Auto-submit inference jobs

    • Execute staking changes only if performance drops

    • Limit model usage to governance-approved intervals

🔐 DAO-Gated Inference

  • Limit model access to specific DAO members or contracts

  • Integrate with accessControlNFTs or governanceRoles()

  • Lock strategic models behind membership or governance quorum

🌍 RWA-Specific Additions

Feature
Value for RWA Use

On-chain yield tracking

Dashboards show tokenized yield per model per epoch.

DAO-managed models

Treasury holds model as productive asset.

Secondary marketability

RWA tokens tradable on DEXs or integrated into LP pools.

This framework can be applied to trading, insurance pricing, cross-chain lending, compliance scoring — any domain where AI needs to be proven, governable and profitable.