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Secure Computation with FHE

Revolutionizing Web3 dApps with Fully Homomorphic Encryption for Encrypted Data Computation.

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What Is Sight Oracle

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Sight Oracle is a Computational Oracle that allows users to delegate computations on encrypted data using Fully Homomorphic Encryption (FHE).

Compatible with various heterogeneous blockchain networks and supporting multiple FHE schemes like CKKS and TFHE, Sight Oracle ensures security and fairness for the decentralized web.

Solutions

Multi-Chain Support

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Applications on any blockchains, or even web2 services, can effortlessly outsource their intensive computation tasks through Sight FHE Oracle.

Secured Computing

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Data remains encrypted throughout its entire lifecycle: during transmission, processing, and storage.

FHE Swiss Army Knife

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Compatible with various FHE schemes, allowing developers to choose the best toolkit for their specific use cases.

FHE-as-a-Service

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Developers can outsource FHE tasks to the Sight Network, enabling them to focus on their products without needing to learn complex domain knowledge or new programming tools.

Application Scenarios

DeFi

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Transactions

Users can perform encrypted transactions without exposing transaction details.

Lending

Borrowers and lenders can engage in lending transactions without revealing identities or loan amounts.

Staking

Users can participate in staking while protecting the security of their assets and earnings.

Application Scenarios

Gaming

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Game Data Transmission

Player behavior and data in games can be encrypted, stored, and processed to protect player information security, such as Texas Hold’em Poker.

Random Number Generation

Generate encrypted random numbers through FHE, ensuring the fairness and unpredictability of game processes; for example, generating lottery game results and powerball.

Application Scenarios

RWA

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Asset Transactions

Conduct encrypted transactions for real-world assets.

Audits and Compliance

Enable encrypted audits and compliance checks for assets while maintaining privacy.

Application Scenarios

AI

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Privacy-Preserving Machine Learning

AI inference on encrypted data.

Privacy-Preserving Data Analysis

Conduct statistical analysis on encrypted data with FHE SQL for seamless multi-party collaborations.

Operations

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Get Random Number

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Arithmetic Operations

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Bitwise Operations

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Conditional Statement Operations

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