Aira
Aira

AI Research Assistance for

AIRA is the secure, offline LLM framework embedded in the Aridhia Digital Research Environment (DRE), engineered to give healthcare researchers unparalleled control over sensitive data, uncompromising performance, and seamless integration.

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Aira Framework
Aira Aira

Secure AI research assistance

In today’s data-driven healthcare landscape, every patient record, genomic sequence, or clinical trial protocol represents not just information, but trust. Researchers demand powerful AI tools to accelerate discovery, yet can’t risk exposing Protected Health Information (PHI) or proprietary insights.

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Secure AI
Aira
Creating LLM Airgap…

A secure offline LLM for healthcare

Aira—natively embedded in the Aridhia Digital Research Environment (DRE) —delivers truly offline large language model (LLM) inference, ensuring every byte of your sensitive data is processed only within your secure workspace, using the same OpenAI-style API calls your developers already know, and restricted by the Aridhia DRE’s RBAC controls, security, and governance features. 

Aira is the secure LLM framework embedded in the Aridhia Digital Research Environment (DRE), engineered to give healthcare researchers unparalleled control over sensitive data, uncompromising performance, and seamless integration. 

Offline LLM

Why offline-only LLMs matter

The Aira Framework isolates models and wraps them in the secure boundary of the DRE. This ensures that models are consistent, platform owner controlled and all prompts and inferences remain entirely within the scope of the DRE, ensuring no possibility of exfiltration to external services.

Zero risk of data exfiltration

By design, Aira’s inference engine operates without any internet egress. No model telemetry leaves your Azure subscription, and no hidden “phone-home” calls occur—guaranteeing that PHI and proprietary research never stray from the Aridhia DRE.

Ironclad regulatory compliance

Healthcare regulations such as HIPAA, GDPR, and local data residency rules mandate absolute control over patient data. Offline-only LLMs remove ambiguity: you know exactly where data lives, how it’s used, and that it never touches an external API.

Intellectual Property Protection

Custom models trained on your unique datasets represent critical IP. When inference happens exclusively within Aira’s secure framework, you eliminate the risk of model or data leakage to third-party service providers.

Predictable, auditable workflows

Every inference job is logged in the DRE’s immutable audit trails. Offline execution provides a clear chain of custody for data and model usage—vital for internal governance, ethics boards, and compliance audits.

AI in the DRE

Transforming the DRE into an
AI powerhouse

OpenAI-Compatible APIs 

Utilise familiar GPT-style endpoints without rewriting applications. 

Azure-Isolated Execution 

Run models exclusively with the scope of your Aridhia DRE platform, no external AI service access. 

Scalable Compute Backend 

Auto-scale GPU clusters and CPU pools on demand, balancing interactive and batch workloads. 

Dynamic Scheduling 

GPU-accelerated batching and multi-model serving, prioritise and schedule models to support concurrency.

Model Prioritisation 

Assign priority tiers so mission-critical tasks pre-empt lower-priority jobs. Ensure model versions are retained and consistent, changing only when required. 

Bring-Your-Own-Model 

Register and secure custom PyTorch, TensorFlow, or ONNX models in a centralised catalogue. 

Use Cases

Real-world use cases for Aira

Secure, isolated AI opens up the possibility of using SLM and LLM technologies on sensitive data for research and analysis.

Clinical Trial Summaries

Transform thousands of protocol documents and patient notes into concise executive reports—securely within the DRE.

Cohort Identification

Execute complex queries across locked-down EHR datasets to find eligible trial participants, with full auditability.

Genomic Variant Analysis

Run bespoke LLMs on proprietary sequence data to annotate and interpret genetic variations—without exporting raw files.

Automated Literature Reviews

Continuously monitor global medical journals, ingesting and summarizing new findings directly into your secure research portal.

AI in the DRE

Power-up your research projects

Absolute Data Sovereignty

All data ingestion, storage, and inference occur inside the DRE’s locked-down Azure environment, benefiting from its mature policies, audit trails, and role-based access controls.

Seamless Developer Onboarding

Point existing OpenAI clients at Aira’s compatible endpoints. Researchers and developers start working quickly with familiar APIs.

Controlled AI Ecosystem

Leverage Azure’s elastic GPU and CPU pools through Aira’s dynamic scheduling. Assign priority tiers to workflows so that critical clinical queries always leap ahead in the queue.

Cost-Efficient Resource Utilisation

Batch non-urgent jobs overnight, allocate spare GPU capacity to research workloads, and avoid idle hardware costs.

Workspace Files & DB Context

Contextualise prompts and API calls to further tailor results and improve the quality of responses and outcomes.

Platform Options

Your DRE, delivered how you need it.

From global research networks seeking cures for the world’s most threatening diseases to small research teams looking to make a big difference, our Trusted Research Environment can be scaled to suit the complexity of your research requirements.

Aridhia DRE SaaS

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.

Aridhia DRE Enterprise

Enterprise

A single-tenanted trusted research environment, aimed at larger enterprises and initiatives, which can be hosted in the Azure region of your choice.

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