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.
Aridhia’s Aira framework delivers secure offline AI in the DRE, enabling compliant, auditable model use for healthcare research without exposing sensitive data.
Azure MLOps Within the Aridhia DRE
Discover how Aridhia integrates Azure MLOps into the DRE to streamline AI workflows, accelerate model deployment, and power secure, scalable research innovation
An Experiment in Using Offline LLMs Within a Secure Data Environment – A Breast Cancer Case Study
An experiment using offline LLMs within a Secure Data Environment to enable safe, privacy‑focused AI research.
UKRI commits £1.6Bn to AI. Aridhia CEO David Sibbald argues the real adoption barrier isn't model capability but instead data infrastructure and governance.
Running AI Agents on Sensitive Research Data: What Is Possible Today
AI agents on sensitive research data: Biomni and ClawBio inside the Aridhia DRE for biomarker analysis, variant classification, and polygenic risk scoring.
