GDPR-Compliant Decentralized AI Training Pipelines

Immutable audit trails for all training data, linking model outputs to verifiable, consent-managed inputs. Ensures full compliance with GDPR's data processing principles.

Secure Multi-Party Computation (sMPC) and Federated Learning orchestration. Train models on decentralized data without exposing raw personal information.

Smart contract-driven consent lifecycle: capture, revocation, and expiry. Integrates with existing identity layers (ERC-725, Verifiable Credentials) for automated policy enforcement.

Built-in differential privacy and synthetic data generation to minimize personal data exposure while preserving model utility, adhering to GDPR's data minimization principle.

Geofencing and jurisdictional logic for data processing. Ensures training operations comply with GDPR's restrictions on international data transfers.

Provably delete contributor data from active models and datasets. Implements cryptographic proof-of-deletion for verifiable compliance with Article 17 requests.

Deploy production-ready, compliant AI models in under 4 weeks, not months. Our pre-configured pipeline templates and automated compliance checks eliminate manual legal reviews.

Achieve full GDPR Article 22 compliance for automated decision-making. Our pipelines enforce data minimization, purpose limitation, and right-to-explanation by design, shielding you from fines.

Cut data processing and storage overhead by up to 40% with intelligent data lifecycle management. Automated PII detection and anonymization reduce the volume of regulated data you must manage.

Implement transparent AI with automated audit trails for every prediction. Provide users with clear explanations for automated decisions, boosting adoption and reducing support queries.

Stay ahead of EU AI Act and other global regulations. Our modular pipeline design allows for seamless integration of new compliance requirements without costly re-engineering.

We conduct a technical deep-dive to map all data flows, identify PII touchpoints, and define the legal basis for processing. This creates the foundational architecture for GDPR compliance.

We design and provision the secure infrastructure stack: encrypted data lakes, access-controlled training environments, and integrated tooling for data subject rights (access, deletion).

Our engineers build the automated training pipeline with built-in privacy controls: data anonymization, consent management hooks, and audit logging for all model training activities.

We perform internal security audits, generate compliance documentation (DPIA, RoPA), and provide comprehensive training for your team to ensure ongoing governance.