Compute sensitive statistics across siloed datasets—without moving data or compromising privacy, security, or compliance.
Whether you’re working with partners, regulators, or internal teams, Duality enables you to analyze distributed data without revealing sensitive information. Run secure, privacy-preserving computations—on any data, across any partner, in any environment.
Link data and aggregate local results to perform descriptive analytics, cohort segmentation, and other statistical computations without accessing raw data or violating policy.
Maintain compliance with global privacy standards while protecting the confidentiality of institutional data and analytical logic.
Choose the model that fits your needs: keep data at the source with federated analytics powered by NVFlare and TEEs, or securely send encrypted data to a central TEE in the cloud for processing.
Enable multi-party analysis without compromising ownership, data control, or confidentiality.
Duality Federated Analytics enables organizations to compute meaningful statistics across sensitive, distributed datasets—without moving data and while protecting local computation results. Based on your analytic needs, the platform supports linking datasets or to generated aggregated analytics. Built on NVIDIA FLARE and trusted execution environments (TEEs) from all major cloud vendors, it combines federated analytics with end-to-end encryption, attestation, and governance.
Whether it’s policy modeling, population health analysis, or inter-agency data collaboration, Duality enables organizations to extract value without giving up control or violating trust boundaries.
Raw data stays in place, and computed insights are protected throughout processing with secure enclaves.
Collaborate on statistical analysis across hospitals, banks, agencies, and institutions without sharing raw data—whether by linking datasets or getting aggregated data insights.
Automate federated deployment with encryption, attestation, role-based access, and policy enforcement.
Analyze multimodal datasets including tables, logs, and documents.
Single platform for all use cases—choose the topology that fits your privacy and operational needs.
Deploy on any major cloud provider or hybrid infrastructure without vendor lock-in.
Neither data nor queries are exposed at any stage of the workflow.
Ensure both data and computed results remain confidential to their respective owners.
Designed to support HIPAA, GDPR, and other global privacy regulations out of the box.
Medical research often requires data from multiple countries to reach statistically significant conclusions. However, regulations around patient data prevent institutions from sharing raw datasets across borders. With Duality Federated Analytics, researchers can compute aggregate statistics on decentralized, regulated data—unlocking insights from multi-country collaborations while keeping patient data protected and compliant with local laws.
Government departments and ministries often hold fragmented data across departments, limiting their ability to see the full picture. Duality enables these organizations to securely link and analyze datasets without physically merging them—empowering them to derive critical insights around public services, fraud, or national policy without risking unauthorized access or violating data governance policies.
Enable privacy-preserving data collaborations across your entire financial ecosystem.
Protect patient data across your healthcare network through privacy-preserving collaborations.
Transform your marketing strategies with data collaborations that respect privacy, driving digital advertising efforts with confidence and creativity.
