PRIVATE AI

Your AI. Your Data. Your Infrastructure.

Build AI around your organisation’s information and operating requirements. Explore dedicated, controlled environments for private models and enterprise knowledge.

PRIVATE AI / CAPABILITIES

More control over how your AI works

Private LLM Deployment

Run language models in a dedicated environment configured around your intended users, model and integration needs.

Enterprise Knowledge AI

Help teams find and work with internal information through an AI interface built around approved content.

RAG Infrastructure

Connect models to a retrieval layer for relevant documents and knowledge. Plan GPU compute, indexing and storage together.

Dedicated GPU Environment

Discuss GPU resources reserved for your AI workloads and the performance profile you need.

Controlled Data Environment

Define access, storage, deployment location and operational responsibilities for your project. Controls are agreed as part of the solution.

Custom AI Infrastructure

Bring together compute, storage and networking around the requirements of your business.

APPLICATIONS

Knowledge-intensive work. A private AI approach.

Potential use cases include professional services, legal, property and real estate, research, education, enterprise internal knowledge and AI development.

Data location, access controls, retention and operational responsibilities are scoped for each project. No regulatory or data-sovereignty guarantee is implied by a private deployment.

LET’S BUILD WHAT’S NEXT

Need GPU Compute?

Whether you’re training a model, deploying AI inference or exploring a private AI environment, talk to NovaGrid AI about your requirements.