Opaque is a confidential AI platform that enables organizations to perform collaborative analytics and AI workloads on encrypted sensitive data without exposing the data to collaborators, cloud providers, or even the platform itself. It provides end-to-end data protection using hardware-backed encryption, granular data governance, and verifiable compliance mechanisms. Opaque supports seamless integration with existing data sources and popular AI frameworks, allowing organizations to unlock the value of sensitive data while maintaining strict privacy and regulatory standards.

Key Features

End-to-end data protection Sensitive data remains encrypted at all stages—at rest, in transit, and during computation—using hardware-backed Trusted Execution Environments (TEEs).

• Data is never exposed to Opaque, collaborators, or cloud providers.
• Protection extends even against physical breaches of server hardware.

Granular data governance Data owners retain full control through encryption key management and detailed access policies.

• Define column- and row-level access policies.
• Approval workflows for every data use.

Multiparty secure collaboration Teams and organizations can jointly analyze and model data without sharing raw data.

• Enables cross-silo AI and analytics projects.
• Data remains encrypted and private even during collaboration.

Synthetic data generation Automatically creates high-fidelity synthetic datasets for development and testing.

• Allows realistic testing without exposing sensitive information.

Verifiable privacy and compliance Tamper-proof, cryptographically signed audit trails for all data interactions.

• Ensures full accountability and regulatory compliance.
• Every action is traceable and verifiable.

Seamless integration Connects directly to existing data sources and supports familiar tools.

• Compatible with Python, Spark, SQL, and more.
• No need for re-engineering existing infrastructure.

User-friendly platform Designed for business users and data scientists, not just security experts.

• No specialized skills required to run AI/analytics on encrypted data.

Benefits

Accelerated AI adoption with privacy Organizations can leverage sensitive data for AI and analytics without compromising privacy or compliance.

• Unlocks new business opportunities from previously inaccessible data.
• Eliminates the tradeoff between innovation and security.

Regulatory compliance and auditability Built-in compliance features simplify meeting regulatory requirements.

• Automated, tamper-proof audit logs.
• Supports data privacy and sovereignty mandates.

Secure collaboration across teams and organizations Enables joint AI and analytics projects without exposing raw data.

• Facilitates secure data sharing and model building.
• Maintains strict privacy boundaries.