On-Premise LLM Deployment
Your own AI assistant running on your server. We install, configure, and maintain open-source language models on your infrastructure. Data physically never leaves your office.
What's included
Infrastructure Audit
We assess your existing servers, network topology, and security requirements. Determine the optimal hardware configuration for your workload and user count.
Model Selection
Choose the right model for your use case: code generation, legal document analysis, Arabic language support, or general-purpose assistant. We benchmark and recommend.
Server Installation
Install and configure the inference engine on your server. Optimize for your GPU (NVIDIA, Apple Silicon) or CPU-only deployment. Full inference stack setup.
Web Interface
Deploy a browser-based chat interface so your employees can use AI through a familiar chat. No technical knowledge required.
System Integration
Connect to your Active Directory / SSO for authentication. API endpoints for internal systems. Audit logging for compliance. Webhook notifications.
Staff Training
Train your team on effective AI usage: prompt engineering, limitations, security best practices. Admin training for model management and monitoring.
How it works
From initial consultation to a running system in 1-2 weeks.
Discovery Call
We understand your requirements: number of users, use cases (legal, coding, documents, Arabic), security constraints, and existing infrastructure.
Infrastructure Assessment
On-site or remote audit of your servers. We check GPU availability, RAM, storage, and network configuration. If hardware is needed, we recommend specific options.
Deployment & Configuration
Install the inference engine, download and configure models, set up the web interface, integrate with your authentication system, and configure monitoring.
Testing & Training
Thorough testing with your actual use cases. Staff training sessions. Documentation handover. System goes live with monitoring in place.
Supported Models
We deploy the latest open-source models, selected for your specific use case and hardware.
Connect to your existing tools
Your private LLM works inside the tools your team already uses. Chat, email, documents, code, and calendar — all routed through the same internal model.
Custom integrations to internal systems available on request.
Pre-built AI assistants for every role
We deliver role-specific assistants on top of your private LLM, pre-configured with the prompts, guardrails, and tool access each function needs. Ship value in weeks, not quarters.
Legal Assistant
Contract review, clause search, NDA drafting, and case research over your private precedent library.
HR Assistant
Policy Q&A, onboarding flows, employee FAQ, and benefits lookup grounded in your handbook.
Procurement Assistant
Vendor comparison, RFP drafting, contract clause extraction, and spend analytics.
Compliance Assistant
Regulatory queries, policy checks, control mapping, and audit preparation support.
Developer Assistant
Code review, internal API documentation lookup, debugging help, and PR summaries.
Finance Assistant
Report summarization, invoice queries, ledger Q&A, and variance commentary drafting.
Deploy in your jurisdiction
Full data residency across the GCC. Models and inference run on your hardware, inside your country's borders, in compliance with UAE PDPL, KSA PDPL, and other regional data-protection regulations.
Air-gapped deployments on customer premises in any GCC country.
Who needs on-premise LLM
Banks & Financial Institutions
Internal security policies prohibit any cloud AI, even sovereign. Deploy an air-gapped LLM for internal document analysis, compliance queries, and code assistance without data exposure.
Government & Public Sector
UAE and KSA government data often cannot leave the physical premises. On-premise LLM enables AI-powered workflows for classified communications, policy drafting, and citizen services.
Defense & Law Enforcement
Classified environments with no internet access. We deploy models on fully air-gapped systems for intelligence analysis, report generation, and operational planning.
Law Firms
Client confidentiality and NDA requirements prevent use of cloud AI. Local LLM assists with contract review, legal research, document drafting, and case analysis without data risk.
Healthcare
Patient data under DHA and DOH regulations cannot be processed by external AI. On-premise LLM enables clinical note summarization, research assistance, and administrative automation.
Enterprise & Conglomerates
Large organizations with sensitive IP, trade secrets, and proprietary data. Deploy AI assistants across your organization without any data leaving the corporate network.
Technical Details
Prometheus + Grafana monitoring, full audit logging, and optional high-availability failover.
# Deployment Architecture Server Requirements: GPU: NVIDIA A100 / RTX 4090 / Apple M-series Ultra RAM: 64GB+ (128GB recommended) Storage: 500GB SSD Network: LAN only (no internet required) Software Stack: Inference: Local engine (GPU-optimized) Frontend: Browser-based chat interface Auth: SAML 2.0 / LDAP / Active Directory Monitoring: Prometheus + Grafana Logging: Full audit trail (who asked what, when) Model Options: General: Llama 3.3 70B, Qwen 2.5 72B General/Code: DeepSeek V3 Arabic: Jais, ALLaM Legal: Fine-tuned variants available Performance: Concurrent users: 10-50 (model dependent) Response time: 1-5s (first token) Context window: up to 128K tokens
Every project is different
Pricing depends on your infrastructure, number of users, and integration requirements. We'll assess your setup and propose a solution that fits your budget and timeline.
Ready to deploy AI on your infrastructure?
Tell us about your requirements and we'll propose a solution. Free initial consultation.