Expanding the Application Scenarios of ZK Proofs (ZK-as-a-Service)

Productizing ZK capabilities and providing them to other developers and enterprises, shifting from ToC infrastructure to ToB platforms.

Path 2.1: ZK Coprocessor

Description: Allows smart contracts to outsource complex and gas-expensive computations to off-chain systems (such as Succinct's network) for execution, generating a ZK proof that the computation is correct, ultimately enabling lightweight verification on-chain.

Application Scenarios: Complex risk calculations in DeFi, game logic, large-scale voting, etc.

Value Proposition: Greatly expands the computational boundaries of blockchain, making “verification” rather than “execution” the core activity on-chain.

Path 2.2: Trustless Oracle

Description: Not only provides data but also proof of data correctness. For example, proving that a certain price data indeed comes from the API of a mainstream exchange and that the computation process is correct.

Value Proposition: Creating oracles with the highest level of security, thoroughly addressing the trust issues in the Oracle domain.

Challenges: Requires “circuitization” of real-world data sources, presenting significant engineering challenges.

Path 2.3: Identity and Privacy Solutions

Description: Provides ZK-based privacy-preserving identity verification for Web3 applications. For example, proving that a user has a certain identity (such as citizen, VIP member) without revealing specific information, or proving that their income exceeds a certain threshold to meet compliance requirements.

Value Proposition: Unlocking the next generation of Web3 applications that require privacy and compliance. @Succinct #prove