QEDIT develops asset transfer systems that utilize Zero-Knowledge Proofs and applied cryptography to ensure privacy and security for both public and private blockchains. The technology enables businesses to securely collaborate and manage sensitive data while complying with regulatory requirements, mitigating risks associated with data leaks and breaches.
Funding
Funding not disclosed


Founders
Product
Problem
Many enterprises are hesitant to adopt blockchain technology due to concerns about exposing sensitive business data and the need to comply with stringent data privacy regulations. Traditional blockchain implementations lack the mechanisms to ensure confidentiality when transferring assets or collaborating on shared ledgers.
Solution
QEDIT provides an asset transfer system that leverages Zero-Knowledge Proofs (ZKP) and applied cryptography to enable secure and private data collaboration on both public and private blockchains. The technology allows businesses to interact and manage sensitive data without revealing the underlying information, ensuring compliance with data protection regulations. QEDIT's solution allows companies to overcome trust barriers, securely engage with other organizations, and maintain ownership over raw data, mitigating the risk of data leaks and breaches.
Target Audience
The primary target audience includes enterprises in the financial industry, supply chain management, and other sectors that require secure data collaboration and compliance with data privacy regulations.
Features
- Employs Zero-Knowledge Proofs (ZKP) to enable secure multi-party computation without revealing underlying data
- Provides an interoperability layer for different ZKP implementations
- Offers shielded asset capabilities for blockchain, allowing for issuance and transfer of assets with confidentiality
- Supports complete private issuance of assets, critical for supply chains where manufacturers want to keep production volumes hidden
- Enables GDPR-compliant blockchains by storing only proofs, not the underlying data, in the blocks
- Allows financial organizations to generate credit scores based on private data without exposing the data itself