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

Main Actors and Their Roles

PreviousWhy Hubic?NextArchitecture Overview

Last updated 6 days ago

Hubic is built around a decentralized architecture of actors who interact through cryptographically verifiable logic on Ethereum. Each actor plays a distinct role in ensuring secure, scalable and economically aligned AI execution — especially when models are tokenized as Real World Assets (RWAs).

🧠 Inference Nodes (Executors)

These nodes perform off-chain AI inference jobs using zk-compatible models. They are responsible for:

  • Running the zk-circuit of a registered model.

  • Generating zero-knowledge proofs for each inference.

  • Submitting results + proofs for on-chain verification.

RWA Link: Executors power the usage metrics that trigger royalty distributions to RWA token holders. More executions = more revenue = higher yield.

🧾 Validators

Validators manage task coordination and proof verification logic:

  • Dispatch inference jobs to available executors.

  • Verify zk-proofs and enforce model authenticity.

  • Submit validated results to Ethereum smart contracts.

RWA Link: Validators act as guardians of verifiability — their role ensures that only genuine, audited activity is used in RWA-related revenue contracts.

📦 Ethereum Smart Contracts

These are the on-chain programs that anchor Hubic’s trust layer:

  • Manage model registration, proof validation, scoring logic.

  • Record logs, usage stats, performance scores immutably.

  • Trigger payouts, slashing or governance actions.

RWA Link: All smart contracts involved in inference, scoring and payout are RWA-compatible — enabling models or agents to be financialized as income-bearing digital assets.

Each actor contributes to the decentralized intelligence fabric of Hubic, ensuring that AI outputs are not only trustworthy but also economically meaningful — particularly in the emerging category of AI-backed RWAs.