SECURE & GOVERN
Private and on-premise AI
AI that runs inside your own network when data cannot leave.
Some data cannot go to a public AI service. We deploy capable open models inside your environment, with the same assistants, search and document AI, and no data leaving your network.
The problem
Regulated organisations are told they must wait for AI, or accept data risks they cannot sign off.
What we build
- On-premise or sovereign-cloud model hosting
- Private assistants, search and document AI
- GPU sizing and capacity planning
- Monitoring, updates and model evaluation
AI inside
- Open models such as Gemma, Llama and Qwen
- Arabic-capable model selection and testing
- Retrieval over internal data with access control
- Hybrid setups that use public models only for non-sensitive tasks
Questions
Are open models good enough?
For most assistant, search and extraction tasks, yes. We benchmark them on your own data during the proof of concept before you commit.
What hardware is needed?
It depends on users and workloads. We size it during the assessment, from a single GPU server upwards.
Related solutions
Plan your private and on-premise ai in 15 minutes.
Intelligence, with intent. Purpose-built by AI. Engineered by people.