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:
The stack consists of four layers: Client Layer, Chain Governance Layer, Scheduler Layer, and TEE Node Layer.
The Client Layer handles user authentication, data submission, and data retrieval, ensuring a seamless and secure user experience.
The Chain Governance Layer maintains on-chain transparency and security, ensuring trust in the execution and validation of tasks.
The Scheduler Layer is responsible for task distribution, workload balancing, and security monitoring to optimize computational efficiency.
TEE Nodes execute confidential computing tasks in a trusted and verifiable environment.
The following outlines how PIN AI processes and verifies computational tasks in a secure and decentralized manner.
User Authentication & Data Submission (Client Layer)
Users authenticate via OAuth and securely submit encrypted data for processing.
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.
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.
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.
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:
The stack consists of four layers: Client Layer, Chain Governance Layer, Scheduler Layer, and TEE Node Layer.
The Client Layer handles user authentication, data submission, and data retrieval, ensuring a seamless and secure user experience.
The Chain Governance Layer maintains on-chain transparency and security, ensuring trust in the execution and validation of tasks.
The Scheduler Layer is responsible for task distribution, workload balancing, and security monitoring to optimize computational efficiency.
TEE Nodes execute confidential computing tasks in a trusted and verifiable environment.
The following outlines how PIN AI processes and verifies computational tasks in a secure and decentralized manner.
User Authentication & Data Submission (Client Layer)
Users authenticate via OAuth and securely submit encrypted data for processing.
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.
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.
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.