Optional Enterprise Layer

For organizations, DAOs, and institutions requiring predictable access to AI inference at scale, Hubic provides an enterprise-grade execution tier. This layer offers performance guarantees, dedicated compute pipelines, and fine-grained monetization controls β€” all governed by smart contracts on Ethereum.


🧾 1. Subscription-Based Access

Enterprises can subscribe to predefined packages by locking HUB tokens, unlocking:

  • Discounted inference rates based on commitment volume.

  • Guaranteed throughput even during network congestion.

  • Priority execution for business-critical inference jobs.


πŸ’³ 2. Usage-Based Credit System

Instead of locking large amounts of HUB, organizations may use pay-as-you-go credits, priced dynamically based on model complexity and volume:

Mechanism
Benefit

HUB burn for access

Temporary priority queue position

Time-limited access credits

Optimize short bursts of compute or pilot deployments

Category-specific limits

Customize credit per model type (e.g. trading vs RWA)


πŸ” 3. Whitelisted Nodes & Private Inference

For sensitive workloads, Hubic supports the deployment of permissioned execution clusters:

Feature
Description

Custom Executor-Validator Pairs

Assign private zk-agents to internal data only

Encrypted Inference Logs

Store private outputs using zk-commitments + IPFS

Private Registries

Run isolated zkRegistry clones for NDA-bound models

These tools enable RWA asset managers, insurance firms, trading funds, or regulated DAOs to run AI in a confidential but verifiable setting β€” with fully enforceable on-chain monetization.


🌍 RWA Extensions:

  • Private RWA Agents: Enterprises can tokenize exclusive access to a closed-source model (e.g. via ERC-721 gating).

  • Governance-Limited Execution: Only specific wallets or DAO members can trigger agent actions.

  • Proof-Verified SLAs: zk-validated logs serve as compliance-grade execution attestations.

Last updated