top of page

Building a Private LLM on Azure

Secure Enterprise AI

​

Deploying a private LLM on Azure empowers businesses to harness powerful large language models while keeping data within their secure cloud environment. At Intology, we enable you to build a private LLM on Azure that aligns with your governance, compliance, and AI innovation goals.

Why Build a Private LLM on Azure?

  • Security First
    A private LLM on Azure ensures all model training and inference occur within your controlled environment—no public data exposure.

  • Full Compliance & Privacy
    Stay compliant with GDPR, HIPAA and other regulations by using Azure’s robust security controls for your private LLM.

  • Customisation & Performance
    Tailor the model to your industry and domain-specific language. Deploy inference endpoints with high performance and low latency on Azure.

Our Approach to Building a Private LLM on Azure

  • Assessment & Planning
    We’ll review your data, security framework, and compliance requirements—essential for private LLM on Azure success.

  • Model Selection & Pre‑Training
    Choose the right open‑source LLM as a base. Pre‑train or fine‑tune on your internal datasets, all within Azure’s secure ecosystem.

  • Private LLM Deployment
    Deploy your private LLM on Azure using Azure Machine Learning or Azure Kubernetes Service (AKS), with private VNETs and managed identities.

  • Ongoing Management & Monitoring
    We implement logging, telemetry, and cost monitoring, ensuring your private LLM on Azure scales reliably and securely.

  • Support & Optimisation
    Regular optimisation cycles, security audits, and model updates—keeping your private LLM both accurate and protected.

Key Benefits of a Private LLM on Azure

Benefit
Details
Cost‑Effective Scaling
Use spot instances, autoscaling, and Azure Cost Management tools.
Operational Efficiency
Automated CI/CD, model rollbacks, and scalable inference endpoints.
Custom AI Insight
Private LLM on Azure allows domain‑specific fine‑tuning for accuracy.
Enterprise‑Grade Security
Role‑based access, encryption at rest/in flight, and Azure Defender.
Benefit Details Data Sovereignty
Your data and the LLM itself remain within your Azure tenancy.

Use Cases for Private LLM on Azure

  • Automated Compliance Assistant – internal regulations, legal and audit review.

  • Customer Support Knowledge Bot – utilise proprietary data for accurate internal/external support.

  • Domain‑Specific Content Generation – for marketing, R&D, or technical documentation.

Why Intology for Private LLM on Azure?

  • Proven Expertise – successful deployments of Azure‑based private LLMs across finance, health, and manufacturing.

  • End‑to‑End Enablement – from planning to optimisation, all within your Azure environment.

  • Security & Governance First – we apply Azure best practices for private data and model integrity.

  • Continuous Innovation – we keep your private LLM current with the latest Azure AI services.

Start Building Your Private LLM on Azure

Ready to harness enterprise-grade AI securely?
 

Contact Intology today to discuss how to plan, deploy, and manage a private LLM on Azure—built for your business.

bottom of page