EyA has developed a centralized-decentralized internet data operating system that enables secure, real-time data sharing and interoperability across various platforms and organizations. This technology addresses the challenges of data ownership and trust in transactions by allowing users to maintain control over their data while facilitating efficient collaboration without compromising security.
Funding
$400K 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.
Founders
Product
Problem
Many organizations struggle with secure and efficient data sharing across different platforms due to concerns about data ownership, security, and interoperability. Existing systems often require complex integrations and may not provide adequate control over data access and permissions. This can lead to data silos, hindering collaboration and innovation.
Solution
EyA provides a centralized-decentralized internet data operating system designed to enable secure, real-time data sharing and interoperability across diverse platforms and organizations. Built on R3's Corda enterprise blockchain, EyA allows users to maintain control over their data while facilitating efficient collaboration in a trustless environment. The platform features a templating engine for creating digital twins of assets, enabling cross-industry data standardization and integration. EyA also incorporates federated machine learning capabilities through EyA Envision, powered by R3 Conclave and Intel SGX, allowing for data analytics without compromising data custody.
Target Audience
EyA targets enterprises, organizations, and government bodies seeking to securely share and manage data across multiple platforms while maintaining data ownership and control.
Features
- Centralized-decentralized architecture for secure and controlled data sharing
- R3 Corda Enterprise blockchain foundation for trusted transactions and data immutability
- Templating engine for creating digital twins and standardizing data across industries
- Federated machine learning with EyA Envision, R3 Conclave, and Intel SGX for privacy-preserving data analytics
- Granular data permissions and marking for controlled data access
- Rapid application development through a low-code operating system and exposed APIs
- Relational data on ledger, enabling organic data connections and simplified data science
- Compatibility with existing software platforms via plug-and-play integration
- Storage of various data types, including videos, datasheets, and VR environments