The PIN AI system utilizes a secure computation stack to facilitate privacy-preserving computation within Trusted Execution Environments (TEEs). This stack enables Personal AI and AI Agents to process sensitive user data without exposing it, ensuring that computations remain verifiable, decentralized, and resistant to manipulation.By integrating TEE-backed execution with blockchain-based validation, PIN AI enables:
Confidential AI computation with on-chain verifiability.
Efficient task execution and resource allocation through a decentralized scheduler.
A transparent governance model that rewards honest computation and penalizes malicious behavior.
The stack consists of four layers: Client Layer, Chain Governance Layer, Scheduler Layer, and TEE Node Layer.
The following outlines how PIN AI processes and verifies computational tasks in a secure and decentralized manner.
1
User Authentication & Data Submission (Client Layer)
Users authenticate via OAuth and securely submit encrypted data for processing.
2
Task Verification & Distribution (Scheduler Layer)
The Scheduler Layer verifies data integrity, ensuring it meets computational requirements.
Verified tasks are assigned to TEE Nodes based on workload distribution.
3
Secure Computation & Proof Generation (TEE Nodes)
TEE Nodes process tasks in an isolated execution environment, maintaining privacy.
Each completed task produces a cryptographic proof of execution to verify correctness.
4
Validation & Reward Distribution (Chain Governance Layer)
Chain Governance verifies the proofs to confirm task completion and correctness.
Upon successful validation, rewards are distributed to contributing nodes and users.
Nodes that fail validation incur penalties, ensuring network integrity and fairness.