Aridhia DRE - Trusted Research Environment

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Building Versus Buying a TRE

Building a TRE requires dedicated software teams, six-figure certification costs, and years of maintenance. Robert Bryce weighs the true cost of build vs buy.

Secure ai in trusted research environments

How to use generative AI responsibly in a Trusted Research Environment — offline LLM inference, governed API access, audit trails, and GDPR compliance.

Avoiding GxP Non-Compliance with the Aridhia DRE

GxP workarounds create compliance and audit risk. How the Aridhia DRE reduces GLP, GCP, and GMP non-compliance exposure in pharmaceutical research.

The DARE UK Sensitive Data Research Infrastructure Landscape Review 2025: What it found, and where the Aridhia DRE fits

DARE UK's 2025 Sensitive Data Research Infrastructure Landscape Review, and where the Aridhia DRE sits against its findings.

Collaborative Development and Versioning Within Aridhia DRE Workspaces

Aridhia DRE Workspaces integrate Gitea, giving researchers secure, self-contained Git version control for reproducible code and model development inside a TRE

Trusted Data Sharing and Collaboration for Health and Biomedical Research – Pick Your Acronym

David Sibbald on nine lessons from nearly 1,000 research projects and 5,500 datasets: SDEs, TREs, and DREs are the same challenge by different names.

A SATRE Compliant Trusted Research Environment

What is SATRE and why does it matter? Aridhia covers the four pillars of the specification and our 2026 scores. Published annually since the standard launched.

Our Customers

See how research hospitals, global health consortia, and pharmaceutical companies use the Aridhia DRE to collaborate on sensitive health data securely.

SATRE 2.0: Evaluating The Updated SATRE Specification

In this post we look at our adoption of SATRE and review the most significant change in SATRE 2.0, the introduction of a Federation pillar to the specification.

C-Path Partners with Matrix to Expand Rare Disease Data and Analytics Platform

Rare diseases may have only a few hundred documented patients globally. A new Matrix-to-RDCA-DAP pipeline feeds de-identified data into the Aridhia DRE.

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