> For the complete documentation index, see [llms.txt](https://docs.zkshine.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zkshine.xyz/extended-ecosystem-modules/private-ai-engine.md).

# Private AI Engine

### **Private AI Engine**

#### **Overview**

The **Private AI Engine** is zkShine’s privacy-preserving artificial intelligence framework.\
It enables AI models to perform **inference, training, and analytics on encrypted data** using zero-knowledge proofs, ensuring that **no private data, model weights, or intermediate outputs are ever exposed**.

This module integrates **zkML (Zero-Knowledge Machine Learning)** into Solana, turning private computation into verifiable on-chain proofs.

#### **Core Capabilities**

* **Confidential Inference Execution**\
  Execute AI models on private data (e.g., financial metrics, user profiles) where only the result is revealed, not the data itself.\
  Example: Proving that a risk score > 700 without showing the dataset.
* **zkML Proof Verification on Solana**\
  Each inference task generates a cryptographic proof validated through a Solana program.\
  This provides verifiable correctness of AI outputs while maintaining confidentiality.
* **Encrypted Dataset & Model Handling**\
  All AI inputs, parameters, and weights are encrypted during runtime, ensuring that neither nodes nor operators can view sensitive information.
* **Private AI-as-a-Service (zkAIaaS)**\
  Developers and enterprises can deploy AI workloads to zkShine Compute Nodes for private execution, billed via **$ZKSHN tokens**.

#### **Architecture**

```
Encrypted Data → zkAI Engine → Proof Generation → On-Chain Verification
```

**Flow Example:**

1. User submits encrypted dataset and model parameters.
2. zkShine executes the AI model privately inside zkCompute nodes.
3. The engine produces a ZK proof of inference correctness.
4. Solana validates the proof and records the result.

#### **Use Cases**

* Private DeFi risk scoring
* zk-powered credit and identity analytics
* Confidential medical or biometric AI
* Encrypted data marketplaces
* zkVerified AI results for on-chain automation