# Optional Extensions

Orby AI supports several **modular extensions** that enhance its usability in complex, privacy-sensitive, or DAO-regulated environments.

These are optional features that sit on top of the core zkML + economic pipeline and can be **programmatically enabled** via smart contracts.

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**🔐 1. Private Inference**

For enterprise or regulated data workloads, Orby AI supports confidential inference workflows:

* Encrypted inputs/outputs stored via IPFS or Arweave.
* zk-proofs still generated — but output hashes can be masked or gated.
* Fully verifiable by DAO or regulatory contracts with privileged access.

**Use case:** Insurance firms, private credit scoring, proprietary model deployments.

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**📦 2. Batch & Subscription Jobs**

Enable users or applications to prepay for multiple inference tasks in bulk:

* Reduce per-call gas fees via aggregation.
* Useful for high-frequency protocols (trading bots, validators, off-chain oracles).
* Scheduled or interval-based batch execution.

**Use case:** L2 zk-Rollup verifications, DeFi rebalancing strategies.

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**🏛 3. DAO-Gated Inference**

Only DAO-approved users or contracts may access specific models:

* DAO can control who uses an inference pipeline.
* Access NFTs or DAO whitelist gating mechanisms supported.
* Voting can dynamically enable/disable model usage.

**Use case:** DAO-controlled RWA credit models or governance advisory bots.

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**🌍 RWA Enhancements:**

| Feature                     | Value for RWA Ecosystem                               |
| --------------------------- | ----------------------------------------------------- |
| **Gated Model Access**      | RWA products with regulated licensing or usage quotas |
| **Private Revenue Tracing** | Masked but auditable earnings streams                 |
| **Prepaid Access Passes**   | RWA token-based API licensing or utility access       |

> These extensions turn Orby AI from a protocol into a **platform** — giving DAOs, enterprises, and tokenized asset managers programmable control over how AI is used, monetized, and governed.