ZKML Bionetta - Privacy-Preserving Machine Learning Framework

Privacy-Preserving AI Framework

Bionetta is a client-side framework for generating private inference proofs using Zero-Knowledge Machine Learning (ZKML). Developed by Distributed Lab as part of the Rarimo ecosystem, Bionetta focuses on public model weights while ensuring user inputs remain fully private. This approach is ideally suited for privacy-preserving use cases such as biometric verification in Web3, where protecting user data is paramount.

Core Capabilities

The framework enables innovative identity solutions including:

Seedless Wallet Recovery: Users can restore access to keys using just an image, with no seed phrase or cloud backup required. The system generates cryptographic proofs on-device that are cryptographically bound to recovery objects only the user knows. This eliminates the risks associated with lost seed phrases or compromised cloud storage while maintaining the security guarantees of self-custody.

Digital Likeness Verification: Users control if, when, and how their biometric data can be used. The system uses hashed vectors with enforceable rules rather than raw biometrics, providing strong privacy guarantees. Biometric data never leaves the user's device in raw form; instead, zero-knowledge proofs are generated client-side and shared for verification.

Developer-Focused Design

Bionetta is designed for developers building privacy-preserving AI applications in Web3, particularly those requiring biometric authentication without compromising user privacy or relying on centralized services. The framework combines the power of machine learning with zero-knowledge cryptography to enable AI applications that respect user privacy.

Technical Architecture

The framework operates entirely client-side, ensuring that sensitive user inputs (such as biometric data or personal images) never leave the user's device. Instead, the system generates cryptographic proofs that can verify properties about the data without revealing the data itself. This architecture enables applications to benefit from AI-powered verification while maintaining complete user privacy.

Integration with Rarimo Ecosystem

Bionetta is part of the broader Rarimo platform, a permissionless ZK Registry that has secured $2.5 million in funding with backing from Vitalik Buterin. The framework leverages Rarimo's ZK infrastructure to provide robust, privacy-preserving AI capabilities for Web3 applications.