Aridhia gives healthcare and life sciences organisations the tools to use AI in their research without compromising on security, governance, or compliance.
The Aridhia DRE is a fully certified, cloud-based Trusted Research Environment used by research hospitals, global consortia, and life sciences organisations across more than 80 countries. From FAIR data discovery and governed access workflows to secure AI and federated analytics.
Analyse data using your preferred tools
Work with the tools you already know — including Python, R, and statistical packages — within a secure, airlocked workspace. Bring your own tooling or choose from a curated library of pre-approved software.
Collaborate securely across teams and institutions
Invite colleagues, share code, and build on each other's work — all within a governed environment that maintains data integrity and a full audit trail throughout your project.
Export findings, not risk
When your analysis is complete, outputs go through a structured disclosure review before leaving the environment — ensuring results can be shared with confidence and in full compliance with your data governance obligations.
Harness large language models within a secure environment
The Aridhia DRE supports offline LLM deployment in air-gapped environments — meaning researchers can benefit from the power of generative AI without sensitive data ever being exposed to external services or the open internet.
Deploy and run AI models without compromising governance
Bring your own models or build within the environment — the Aridhia DRE provides the secure, airlocked infrastructure needed to train, test, and run AI and machine learning models directly against sensitive health data, with full auditability throughout.
Scale AI across institutions without moving sensitive data
Through federated learning and secure multi-party computation, researchers can collaborate on AI development across multiple sites and datasets — without the data ever leaving its governed environment.
Accredited to the standards that matter
The Aridhia DRE holds ISO 27001 and ISO 27701 certifications and is assessed against the SATRE specification — giving data owners, researchers, and institutions confidence that the environment meets the highest industry standards.
Governance built into every layer
From data ingestion to output disclosure, every action within the DRE is logged, auditable, and governed. Configurable access controls and data use conditions ensure that sensitive data is always handled in accordance with your obligations.
Designed for the realities of health data regulation
Built with GDPR, data sovereignty, and patient privacy at its core, the Aridhia DRE helps organisations operating across complex regulatory environments maintain compliance — without it becoming a barrier to research.
The Aridhia DRE is already at work across some of the most complex and consequential challenges in health data research. Here's how:
Powering FDA-qualified kidney safety biomarker research with secure data sharing—supporting over 26,600 trial participants and transforming drug development decision-making.
Biomarker RepositoryHow the Aridhia DRE provided the secure, federated infrastructure for the Global Neurodegeneration Proteomics Consortium to harmonize ~250 million protein measurements across 23 international cohorts.
Proteomics StudyHow a secure, sponsor-controlled Digital Research Environment unlocks AI and machine learning across the full drug discovery pipeline — without compromising intellectual property or data governance.
AI-Enabled Drug DiscoveryThe latest thinking from Aridhia on health data research, secure data environments, AI governance, and the policy and technical developments shaping the field.
Applying a maturity model to Trusted Research Environments - Part 2
We explore five researcher scenarios mapped to the TRE capability maturity model from controlled dataset access to strategic federated research platforms.
Applying a Maturity Model to Trusted Research Environments – Part 1
What level of TRE capability does your organisation need? Robert Bryce proposes a seven-layer capability maturity model for Trusted Research Environments.
FAIR Data Services and EHDS Article 60 — Health DCAT-AP catalogue templates, data validation, and open API integration with national catalogues.
DARE UK TREvolution Final Report
Aridhia's DARE UK TREvolution final report: federated TRE workspace integration, GA4GH Task Execution Service implementation, and Federated Node development.
Assessing the Aridhia DRE against the SATRE specification for 2026
This paper scores the Aridhia DRE against the four sections of the SATRE specification for 2026.
DARE UK TREvoultion Interim Report
This interim report details initial work carried out by Aridhia under the DARE UK TREvolution project.
The Aridhia DRE is changing the way in which clinical and research professionals work together — enabling them to collaborate, access, and share secure data in a trusted research environment to deliver better patient outcomes.
SaaS
A multi-tenanted SaaS trusted research environment, aimed at individual research teams and projects, with Workspaces hosted in the UK, US, EU, Canada and Australia. Starting at just £95 per month.
Project Workspace
Enterprise
A single-tenanted, federation-capable, AI ready trusted research environment aimed at larger enterprises and initiatives, which can be hosted in the Azure region of your choice.
Platform OverviewTRE, SDE, SPE, DRE — there are a lot of names for a product like the Aridhia DRE, so it can be a complicated process working out what tools and infrastructure your research project needs. To help with this we've written a helpful guide:
What is a Trusted Research Environment?
