Our privacy-first approach uses cutting-edge cryptographic and machine learning techniques to protect data while enabling AI processing.
Process encrypted data without decryption, ensuring data privacy throughout the AI pipeline.
Train AI models across distributed data sources without centralizing sensitive information.
Mathematical guarantee of privacy protection while enabling statistical analysis and insights.
Verify computations and results without revealing underlying data or computation details.
We maintain the highest levels of compliance and certification across industry standards and regulatory requirements.
Service Organization Control 2 certification
CertifiedInformation security management standard
CertifiedHealth Insurance Portability and Accountability Act
ComplianceGeneral Data Protection Regulation
CompliancePayment Card Industry Data Security Standard
ComplianceFederal Risk and Authorization Management Program
In ProgressDefense-in-depth security strategy with multiple layers of protection across the entire technology stack.
Homomorphic encryption allows computations to be performed on encrypted data without decrypting it. This means your sensitive data remains encrypted throughout the entire AI processing pipeline, providing mathematical guarantees of privacy.
Federated learning trains AI models across multiple data sources without centralizing the data. Each location trains on its local data, and only model updates (not raw data) are shared, ensuring data never leaves its secure environment.
Our platform is designed with compliance-by-design principles, automatically enforcing requirements like GDPR, HIPAA, and SOC2. We maintain continuous compliance monitoring and provide audit trails for all data processing activities.