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. Hubic Economic Engine

Roadmap

PreviousTokenomics

Last updated 6 days ago

🧱 Phase I — Core Protocol Deployment (Q2–Q3 2025)

Establish the zkML execution pipeline on Ethereum and enable verifiable AI inference as a programmable service.

Goals:

  • ✅ Deploy zkRegistry (model metadata, hashes, verifier contracts)

  • ✅ Launch InferenceRequest + ProofVerification smart contracts

  • ✅ Integrate support for Halo2 / Groth16 / Plonk zk formats

  • ✅ Release open-source executor client + inference CLI

  • ✅ Tokenize first production AI model as RWA (ERC-20 ownership contract)

  • ✅ Settlement module for revenue routing (Model Owner / Executor / Verifier)

⚙️ Phase II — Agent Infrastructure & DAO Integration (Q3–Q4 2025)

Enable sovereign zk-agents to operate on-chain with DAO governance and RWA-linked revenue models.

Goals:

  • 🔄 Launch SovereignAgent framework (staking, task execution, memory)

  • 🧠 Deploy LiquidStrategyEngine for DeFi strategy execution

  • 🏛 DAO-linked governance logic with zk-proposal rationales

  • 🌍 Support tokenized access to models (ERC-721 licensing, gating)

  • 📊 RWA dashboards: yield tracking + proof analytics per tokenized model

  • 🤝 Integrate with DAO tooling (Snapshot, Tally) for agent-sourced proposals

🌐 Phase III — Cross-Chain & Enterprise Scale (Q1 2026 onward)

Expand Hubic into a cross-domain, enterprise-ready AI compute and monetization layer.

Goals:

  • 🪐 L2 & Rollup integration (Optimism, Arbitrum, Base, zkSync)

  • 🌉 Cross-chain inference bridges (EigenLayer, LayerZero, Axelar)

  • 🔐 Private inference support: encrypted payloads + shielded outputs

  • 🧾 zkBilling + zkSLA proofs for enterprise use

  • 💼 Enterprise-tier deployment packages (custom access, SLAs, analytics)

  • 🧭 Model reputation NFTs + zk-credential issuance for node operators

⚡️ Long-Term Vision: Hubic = The zkML protocol layer for tokenizing intelligence itself — from AI capital strategies and DAO governance agents, to revenue-generating models that live and operate as decentralized RWAs.