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Space and Time introduces foundation to drive ZK-proven data adoption

Jayson Derrick
Edited by
News
Space and Time introduces foundation to drive ZK-proven data adoption

Space and Time introduces its foundation to drive the protocol forward, with governance, grants, and more.

Space and Time, a decentralized database platform focused on zero-knowledge proofs, is changing its governance structure. On Tuesday, April 29, the blockchain startup introduced the Space and Time Foundation as an independent organization in charge of the ecosystem.

Originally launched in 2024, the Foundation was just now formally introduced. It will serve as a non-profit arm of the protocol, leading its long-term development and decentralization. The Foundation will have its own board of directors and will gradually assume control over the protocol.

Space and Time Foundation to focus on grants, scaling

The Foundation will focus on the grants for developers, growing the community, and protocol transparency. What is more, it will also focus on achieving global scale, both in terms of its technology and legal issues.

At the same time, Space and Time Labs, the company behind the protocol, will change its name to MakeInfinite Labs. The for-profit arm of the protocol will focus on research and development, enterprise clients, and technology.

Space and Time is a decentralized data platform built on the blockchain. What sets it apart is that data queries come with zero-knowledge proofs, increasing trust in the system. This enables the data on the network to be verifiable and secure.

Its key innovation is “Proof of SQL,” which creates a ZK proof with each query to the database. While queries are run off-chain, the generated ZK proof is submitted to a smart contract on the blockchain, verifying the data without ever seeing it directly.

At the same time, ZK proofs also enable applications to scale more efficiently, because most data transfers don’t happen on-chain. Instead, the blockchain serves as a registry of zero-knowledge proofs to verify the integrity of the data.