✨ The Magic of ZK-ML

Welcome! If you’ve ever wondered how Ciro Network can guarantee the results of AI jobs—without trusting any single party—this page is for you. Here’s how Zero-Knowledge Machine Learning (ZK-ML) makes it possible.

🤔 What is ZK-ML?

ZK-ML stands for Zero-Knowledge Machine Learning. It’s a breakthrough technology that lets someone prove they ran an AI model correctly—without revealing the model’s secrets or the raw data.

• Zero-Knowledge Proofs (ZKPs): Cryptographic techniques that prove a statement is true, without revealing why it’s true.
• ZK-ML: Applies ZKPs to machine learning, so you can prove “I ran this model on this data and got this result”—and anyone can verify it.

🔒 Why Does It Matter?

• Trustless Results: No need to trust the GPU provider, the network, or even the model creator. The proof is math.
• Privacy: Sensitive data and proprietary models stay private—only the result and proof are shared.
• Verifiability: Anyone (users, dApps, smart contracts) can check the proof and know the result is correct.
• New Use Cases: Enables DeFi, DAOs, and on-chain games to use AI safely and transparently.

⚙️ How Does Ciro Use ZK-ML?

1. User submits a job (e.g., image recognition, risk scoring)
2. Worker node runs the AI model on their GPU
3. Worker generates a ZK-ML proof that the computation was done correctly
4. Proof and result are sent back to the user (and optionally, on-chain)
5. Anyone can verify the proof—on Starknet, Ethereum, or other chains

🛠️ Under the Hood

• Ciro integrates with leading ZK-ML frameworks (Orion, Giza, RISC Zero, etc.)
• Proofs are generated off-chain (on the worker’s GPU/CPU)
• Verification can happen on-chain (Starknet) or off-chain (SDK, API)

🖼️ Visual: ZK-ML Job Flow

graph TD
  User["User / dApp"] -->|Submit Job| Worker["Worker Node (GPU)"]
  Worker -->|Run Model| Model["AI Model"]
  Model -->|Result + ZK-ML Proof| Worker
  Worker -->|Result + Proof| User
  User -->|Verify Proof| Verifier["On-chain / Off-chain Verifier"]

🌍 Real-World Examples

• DeFi Oracles: Prove an AI model generated a price feed, without revealing the model or data
• On-Chain Games: Prove a game AI made a move fairly, without leaking strategy
• Enterprise AI: Prove compliance or auditability for sensitive predictions
• Research: Share results with cryptographic guarantees, protecting IP and privacy

📚 Learn More

• ZK-ML Research
• Ciro Smart Contracts
• Job & Proof Flow
• Getting Started Guides

Questions? Join our Discord or explore the rest of the docs for more details!