Q4 26 – Q1 27
Establish the zkML execution pipeline on Ethereum/L2s 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)
Q1–Q2 2027
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
Q2 2026 onward
Expand Orby AI 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
Orby AI = 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.