Roadmap

🧱 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.

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