Private, On-Premises & Offline AI
Your documents never leave your building: local inference, air-gapped if required.
Private on-premises AI deployment, domain adaptation and offline inference for organizations whose data must stay inside their own walls. Deployment patterns range from fully offline and air-gapped, to local-network-only, to hybrid with controlled external access.
Scope of service
- Hardware sizing (CPU, GPU, RAM, storage)
- Model selection and licensing review
- Secure local inference servers
- Air-gapped deployment
- Document ingestion and RAG knowledge bases
- Arabic/English evaluation
- Domain-specific fine-tuning where justified
- Model lifecycle management
- Administrator training
Good to know
Offline systems require planned updates, secure model transfer, capacity management and testing for accuracy and hallucination.
How we deliver it
- 01
Baseline
We establish what exists, what is required, who owns each dependency and what evidence will demonstrate completion.
- 02
Design
Options are compared for interoperability, scalability, maintainability and total cost of ownership, with security built in.
- 03
Implement
A controlled sequence of configuration, development, integration, migration and testing that limits disruption.
- 04
Operate
Runbooks, named ownership, training and a stabilization period so the capability holds under real workloads.
Start with a technology assessment
Whether the priority is a new enterprise network, a secure records platform, ERP modernization, cyber resilience or offline AI, we can structure the problem into an actionable delivery plan.