Organization Name: Privasea AB
Organization Size : 10
Organization Location: Sweden
Description of Organization
Privasea AB - privasea.ai
Privasea is a startup specializing in privacy computing infrastructure that aims to provide efficient and user-friendly fully homomorphic encryption (FHE) solutions for both web2 and web3 customers. The company is presently constructing a finely-tuned library optimized for mainstream FHE operations.
Privasea AB has 3 Core Competitiveness
- Data Value Circulation:
Instead of sharing the raw data, our system facilitates data value circulation. Fully Homomorphic Encryption (FHE) enables the secure sharing of encrypted data calculation results within the network while ensuring data ownership remains with the users.
- Easy Deployment:
Our solution can be seamlessly integrated into various Layer 1 (L1) and Layer 2 (L2) blockchains or infrastructure ecosystems like Chainlink, Greenfield or Filecoin. The incentive tokenomics aspect can be adapted to different chains for smooth deployment.
- Lower Gas Fees through Decentralized Computation Power:
By leveraging decentralized computation power, we significantly reduce gas fees for users when they submit FHE machine learning assignments to our network. Miners are incentivized through long-term value on the token aspect rather than direct GPU cycle cost calculations.
Why should we be included?
Privasea, as a privacy-preserving infrastructure for projects like Greenfield, a distributed storage solution, holds significance from several angles.
We offer a heightened level of security for data storage services, ensuring that sensitive information remains shielded from unauthorized access. The experience we have can be applied to Greenfield and BNB ecosystem.
We establish a data encryption layer based on Fully Homomorphic Encryption (FHE) that spans the entire lifecycle of the data. This ensures that data remains encrypted even during processing and analysis, mitigating risks associated with data exposure.
Privasea sets the stage for future expansion in terms of data computation capabilities, paving the way for seamless integration with evolving data processing techniques.
In a landscape increasingly driven by privacy concerns and data integrity, Privasea’s multifaceted approach addresses the core tenets of confidentiality, data usability, and long-term adaptability.