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  2. Introduction

Hubic AI Hub – Model Registry

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Last updated 6 days ago

The Hubic AI Hub is a permissionless registry of zk-compatible AI models. Deployed fully on-chain via Ethereum smart contracts, it serves as the trust anchor for all inference activity and monetization across the network.

Each registered model is:

  • Identified by a unique zk-circuit hash.

  • Associated with metadata (version, type, zk format, usage fee).

  • Linked to a public verification key and on-chain logic.

This registry enables transparent usage tracking, RWA tokenization and composability across Ethereum-based DAOs, DeFi protocols and dApps.

📄 Sample Fields:

Field
Description

Name

Human-readable label (e.g., “Yield Optimizer v1”)

Type

Model classification: Strategy, Agent, Scoring

zk Hash

SHA-256 hash of the compiled zk-circuit

Version

Compatible inference versioning (e.g., v1.1)

zk Format

Halo2, Risc0, zkWASM, etc.

Fee

Execution cost per inference

Verifier ID

Linked verification contract address

Royalty Split

On-chain percentage flow to model stakeholders

RWA Token ID

(optional) ERC-20/NFT representing model shares

🧠 Example Models:

Name
Type
Verifiable?
Version
zk Hash
Use Case

Hubic-LSTM

Strategy Engine

✅

v1.3

0xabc123

DeFi Restaking

Hubic-KYC

Identity Agent

✅

v0.9

0xdef456

zk-KYC for RWA access control

Hubic-RWAx

Revenue Model

✅

v1.0

0x0f0f0f

Tokenized AI inference engine

Hubic-Gov

DAO Coordinator

✅

v2.1

0xghi789

Governance Proposal Generator

🌍 RWA Integration:

Models registered in the Hubic AI Hub can:

  • Be fractionalized and represented as ERC-20/NFT tokens.

  • Distribute yield from verified usage to token holders.

  • Maintain public audit trails for inference history and royalty claims.

  • Enable DAO-managed model ownership, upgrades or retirement through governance.

This registry is the foundation for real-world assetization of AI compute, transforming inference models into trackable, monetizable primitives on Ethereum.