Pi Squared provides a universal verified computing platform that enables trustless remote computing, AI, and interoperable smart contracts across any blockchain or decentralized application. By minimizing reliance on trust for critical technology components, it enhances blockchain interoperability and reduces the risk of bridging hacks.
Funding
$12.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ACBVGVRVFounders
Product
Problem
Current blockchain interoperability solutions often rely on trusted intermediaries or complex bridging mechanisms, creating vulnerabilities to hacks and limiting the seamless execution of smart contracts across different chains. This lack of trustless interoperability hinders the development of truly decentralized and interconnected applications.
Solution
Pi Squared offers a universal verified computing platform that enables trustless remote computing, AI, and interoperable smart contracts across any blockchain or decentralized application. By leveraging zero-knowledge (ZK) proofs, Pi Squared minimizes the need for trust in critical technology components, enhancing blockchain interoperability and reducing the risk of bridging hacks. The platform allows developers to write smart contracts in any language and execute them across different blockchains without moving assets, providing a single source of truth for cross-chain computations.
Target Audience
The primary target audience includes blockchain developers, decentralized application (dApp) creators, and enterprises seeking secure and interoperable solutions for cross-chain computing and smart contract execution.
Features
- Universal smart contract execution across any blockchain, supporting multiple programming languages.
- Zero-knowledge (ZK) proof system for verifiable computation and data integrity.
- Trustless interoperability that minimizes reliance on bridging mechanisms.
- Modular blockchain efficiencies for improved performance.
- ZK-ed matching logic proof checker applicable to all languages and claims.
- Massively parallel processing capabilities for efficient computation.