An on-premise offline LLM server in a secure enclosure, labelled secure, private, on-premise, your data and your rules

Private AI

Offline & On-Premise LLM Development

An offline LLM is a large language model that runs entirely inside infrastructure you control. That can be your own servers, an air-gapped network or a dedicated in-country cloud tenancy. Prompts, documents and answers stay there. Webify.AI handles model selection, private RAG, evaluation and GPU sizing, then hands the system over. Prices, pilots and hardware tiers are on our Private AI page at webify.ai/private-ai.

Book a Strategy Call All services

client data held by Webify.AI

2-4 wks

fixed-price pilot on your own documents

30 min

free call: can this run offline?

The problem today

Legal, contractual or regulatory rules that stop data going to a third-party AI service
Client privilege, bank secrecy or patient records that must stay on infrastructure you control
Public models that know nothing about your products, policies or terminology
Air-gapped environments where no external service can be reached at all

Outcome

Organisations with a hard reason to keep data in place run generative AI on infrastructure they control. Webify.AI builds and hands over, holds none of their data and keeps no standing remote access.

Offline LLMs that run air-gapped, on your own servers or in an in-country cloud, with your data kept on your side.

How we deliver it

Step 1

Assess

Use cases, data, hardware budget and model licence terms mapped to a target model size, with written success criteria.

Step 2

Select & tune

Open-weight models such as IBM Granite, Jais 2, ALLaM, Fanar, gpt-oss and Mistral tested on your own questions. Fine-tuning only where evaluation shows a need.

Step 3

Ground

Private RAG over your document stores with permission-aware retrieval so answers cite internal sources.

Step 4

Deploy & hand over

Inference serving, quantisation, monitoring and audit logging on hardware bought in your name, then handover to your team.

What's included

On-premise & air-gapped

Full installation inside your data centre or isolated network with offline model and dependency mirrors.

Domain fine-tuning

LoRA fine-tunes on your tickets, contracts, manuals or transcripts, used when evaluation shows a format or behaviour problem.

Private RAG

Vector search over SharePoint, Confluence, file shares and databases with row-level access control.

GPU optimisation

Quantisation, batching and serving configuration to get the most from each GPU you own.

What you receive

Model evaluation report and selection rationale
Model-licence register for every model shipped
Private RAG pipeline and ingestion jobs
Inference serving stack on hardware bought in your name
Audit logging, runbook and handover documentation

Frequently asked questions

What is an offline LLM?

A large language model that runs entirely on infrastructure you control, with no external API calls. Prompts, documents and outputs stay inside your network, which suits regulated and air-gapped environments.

Which models can be deployed on-premise?

Open-weight models such as IBM Granite 4, Gulf-built Jais 2, ALLaM and Fanar for Arabic, gpt-oss, Gemma and Mistral. We choose against your accuracy targets, languages, licence terms and available GPU memory.

What hardware is required?

Many pilots run on one server-class GPU, and a departmental server with two 96GB GPUs is a common next step. We size it during discovery, before you buy anything. Hardware is bought in your name, at cost.

Is an offline LLM cheaper than a hosted API?

Usually not. Hosted versions of open models are now very cheap, and self-hosting tends to pay only at high, steady volume. Choose offline for control and compliance rather than savings.

Does an offline LLM make us compliant with HIPAA, GDPR or similar rules?

Not on its own. Keeping data on infrastructure you control can simplify some data-protection questions, but your counsel must confirm what your rules require. Webify.AI holds no ISO 27001 or SOC 2 certification.

Can it be updated without internet access?

Yes. Model and dependency updates are prepared on a connected machine, verified, and moved in on media your security team approves.

Where can I see prices and the full private AI offer?

On our Private AI page at webify.ai/private-ai. It covers the price ladder, the three lead agents, hardware tiers and how to test that nothing leaves your network.