Sovereign Clouds for Responsible AI

Building trust in zero-trust environments

GENXT develops verifiable computational environments for privacy-preserving collaboration across federated research and distributed AI systems.

In biomedical research and beyond

Designed to support verifiable and privacy-preserving computational systems across life sciences infrastructures, biobanks, and AI applications.

Explore applied environments

Confidential Cross-Database Analysis

Perform computations on data from multiple sources where each data controller independently manages collaboration policies and retrieves computational results only

DNA Matching

Confidential AI Inference

Provide or leverage any AI solution in clouds without the risk of private data leakage

LLM Infrenece

Federated AI Training Environments

Train machine learning models across federated research and computational environments using privacy-preserving approaches

Frontiers in Big Data publication

Verifiable AI Execution

Deploy software tools and machine learning models across distributed settings with verifiable execution and controlled operational boundaries

ELIXIR BioHackathon with GENXT and Nebius

Confidential Computing
explained

Read about GA4GH standards and frameworks

GENXT computational environments align with GA4GH and broader cloud-native ecosystems

Supports privacy-preserving processing of sensitive biomedical and research data across storage, transfer, and computational environments

Enables scalable federated computation across distributed research environments

Integrates across heterogeneous research, cloud, and federated computing environments

Aligns interoperable biomedical and federated research environments with GA4GH standards and frameworks

Explore Collaboration

GENXT in research and standards communities

GENXT is a translational infrastructure initiative developed through the Wellcome Genome Campus ecosystem in the UK and focused on privacy-preserving and verifiable computing approaches for federated computational research.

The initiative evolves through collaborations spanning genomics, confidential computing, federated identity, and international research and standards communities.

Sovereign Clouds for Responsible AI

Building trust in zero-trust environments

In biomedical research and beyond

Explore applied environments

Confidential Cross-Database Analysis

Confidential AI Inference

Federated AI Training Environments

Verifiable AI Execution

Confidential Computing
explained

Read about GA4GH standards and frameworks

GENXT computational environments align with GA4GH and broader cloud-native ecosystems

Supports privacy-preserving processing of sensitive biomedical and research data across storage, transfer, and computational environments

Enables scalable federated computation across distributed research environments

Integrates across heterogeneous research, cloud, and federated computing environments

Aligns interoperable biomedical and federated research environments with GA4GH standards and frameworks

GENXT in research and standards communities

GENXT is a translational infrastructure initiative developed through the Wellcome Genome Campus ecosystem in the UK and focused on privacy-preserving and verifiable computing approaches for federated computational research.

The initiative evolves through collaborations spanning genomics, confidential computing, federated identity, and international research and standards communities.

Memberships & Affiliations

Interested to find out more?

Interested in collaboration?

Schedule a conversation

Sovereign Clouds for Responsible AI

Building trust in zero-trust environments

In biomedical research and beyond

Explore applied environments

Confidential Cross-Database Analysis

Confidential AI Inference

Federated AI Training Environments

Verifiable AI Execution

Confidential Computing explained

Read about GA4GH standards and frameworks

GENXT computational environments align with GA4GH and broader cloud-native ecosystems

Supports privacy-preserving processing of sensitive biomedical and research data across storage, transfer, and computational environments

Enables scalable federated computation across distributed research environments

Integrates across heterogeneous research, cloud, and federated computing environments

Aligns interoperable biomedical and federated research environments with GA4GH standards and frameworks

GENXT in research and standards communities

GENXT is a translational infrastructure initiative developed through the Wellcome Genome Campus ecosystem in the UK and focused on privacy-preserving and verifiable computing approaches for federated computational research.

The initiative evolves through collaborations spanning genomics, confidential computing, federated identity, and international research and standards communities.

Memberships & Affiliations

Interested to find out more?

Interested in collaboration?

Schedule a conversation

Confidential Computing
explained