Private AI deployment for enterprises
Private AI deployment on your own servers, under your control
Private AI deployment means running AI models and agents inside infrastructure you control, such as on-premise servers or your own cloud account, instead of sending data to a public AI service. e-KHOOL deploys AIRA, its enterprise AI agent platform, and private large language models in your environment, with your security rules applied from day one. Entirety Technologies runs it this way for up to 150 staff, on its own GPUs, in Arabic and English.
AI implementations delivered for
What is private AI deployment?
Your staff get AI assistants and agents, but every prompt, document and answer stays on hardware or cloud accounts you own. AIRA runs next to your data, uses models you approve and follows your access rules.
- Staff access: web and chat, single sign-on, Arabic and English
- AIRA: no-code agent builder, guardrails, role-based access, human approval steps
- Private model serving: open-weight LLMs and embeddings on your GPUs
- Knowledge layer: vector search over your own documents
- Connectors: email, documents, project tools and ticketing
- Audit trail: every prompt and action recorded
Why enterprises choose private AI
Control, compliance and predictable cost, without giving up modern AI.
Data stays inside your boundary
Prompts, documents and outputs never leave infrastructure you control.
Meet data residency rules
Keep data in the country and environment your regulators require.
Predictable cost
Run models on your own capacity instead of paying per call to a public API.
Full control of models
Choose, update and audit the models you run, with no surprise changes from a provider.
Security built in
SSO, role-based access, guardrails and human approval for sensitive actions.
Owned by your team
Admin training and documentation so your IT team runs the platform.
Deployment options
Pick the setup that matches your security and compliance rules.
On-premise
AIRA and models installed on your own data-centre hardware, including air-gapped networks.
Best for: regulated and sensitive data
Plan on-premisePrivate cloud
Deployed in your own AWS or Azure account, inside your network and access policies.
Best for: teams already in the cloud
Plan private cloudHybrid
Sensitive workloads stay on-premise; non-sensitive workloads use approved cloud models.
Best for: mixed workloads
Plan hybridHow a private AI deployment works
The timeline from our Entirety Technologies rollout, from purchase order to agents in use.
- 01
Discovery session
GPU capacity, memory, storage, network and software prerequisites sized with your team, plus your first agents.
Within 5 business days of the purchase order
- 02
Licence keys and installer
Licence keys, the installer and administrator documentation.
Within 5 business days of discovery
- 03
Agent templates
Eight agent templates and the online builder guide, ready to connect to your documents and systems.
With the licence keys
- 04
Install and roll out
Your IT team installs and rolls out AIRA, or an e-KHOOL forward deployed engineer does it with you.
Your pace
Support included with the licence
Software updates, new model support, security patches and new agent templates as they are released. In the UAE, standard support runs Sunday to Thursday, 09:00–18:00 GST, by email and support portal.
| Priority | Example | Response |
|---|---|---|
| P1 Critical | Platform down for all users | 4 hours |
| P2 High | An agent template or connector not working | 1 business day |
| P3 Normal | Questions and how-to | 2 business days |
What is included
Everything needed to run private AI in production, not just an installation.
- Infrastructure sizing and model selection
- Installation of AIRA and private LLMs
- Connection to your data sources and SSO
- Access control, logging and audit trails
- Performance and cost tuning
- Admin training and handover documentation
Private AI in production
Entirety Technologies runs AIRA on its own GPUs with no data sent to public AI.
Results from our AI implementations
Faster proposal drafting for Entirety Technologies
Saved every week by General Technologies teams
Lower AI workflow cost for Tria PLC
Certified information security, plus ISO 9001:2015
Private AI deployment FAQs
What is private AI?
Private AI is artificial intelligence that runs in an environment the organisation controls, so its data is not processed by a shared public AI service.
Can we run a private ChatGPT-style assistant on-premise?
Yes. e-KHOOL can deploy a chat assistant and AI agents on your own servers using private large language models through AIRA.
Which models can run privately?
Widely used open-weight models as well as e-KHOOL's own models. The model is chosen during sizing based on your use case and hardware.
What hardware do we need?
You provide the GPU servers. GPU capacity, memory, storage, network and software prerequisites are sized with your team in the discovery session, before licence keys are issued.
Who installs it?
Your IT team can install, configure and roll out AIRA using the installer and administrator documentation, as Entirety Technologies did. If you prefer, an e-KHOOL forward deployed engineer does it with you.
Can it run with no internet connection?
Yes. AIRA and the models can run on an air-gapped network.
How long does a private AI deployment take?
The discovery session happens within 5 business days of your purchase order, and licence keys follow within 5 business days of discovery. Go-live then depends on your hardware and how many agents you roll out.
Plan your private AI deployment
Tell us about your data, users and compliance needs. An engineer will reply within 1 business day.
- Security review on the first call
- Customised pricing for your setup
- Or email sales@ekhool.com
Keep your AI and your data under your control
AIRA, private models and your security rules, running in your environment in about 1 month.