Data consortia & partnerships

Activate first-party data without the data sharing headache

Build data partnerships securely with cohort matching, lookalike discovery, and aggregated metrics, all without any partner’s PII or commercially sensitive data leaving their firewall.

Use cases

A single enterprise-grade platform to bring federated data science and AI to your data partnerships.

Research consortia

Multi-institutional, multi-national research at scale

Easily navigate complex governance requirements by removing the need for data centralisation.

Cross-sector partnerships

Create new public-private connections

Stimulate innovation by enabling easy, safe data collaboration between government, academia and industry.

Internal data collaboration

Build an internal federated data mesh

Go beyond dataset observability and cataloguing with the ability to deploy AI and analytics into data silos.

AI development & evaluation

Develop specialised models with privacy-preserving AI collaboration

Connect domain expertise with specialised datasets to create the next generation of high-performing models.

Dataset evaluation

Take the guesswork out of understanding dataset ROI

Measure model performance uplift without needing to transfer any data to the model developer.

Explore data partnership case studies

Establish and smoothly run scalable, cross-organisational, cross-jurisdictional data partnerships and collaborations.

A federated network of Trusted Research Environments to transform children’s health research, innovation and service improvement

Learn more about CADRE

Bridging AI, data & governance: The FAIR TREATMENT project on adolescent mental health

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