Corporate AI Infrastructure Service

Local LLM Installation
for Your Corporate Infrastructure

We install enterprise-grade AI language models directly on your hardware — completely air-gapped, 100% private. Your data never leaves your premises. Your AI. Your rules.

0%
Data Sent to Cloud
100%
On-Premise Control
24/7
Offline Availability

What This Service Includes

Hardware Assessment & Sizing

We evaluate your existing servers or recommend new hardware (GPU workstations, NVMe SSDs, RAM upgrades) based on your LLM model size requirements.

Model Installation & Configuration

Full setup of Ollama, LM Studio, or custom Docker containers with models like LLaMA 3, Mistral, Phi-3, Gemma, or DeepSeek optimized for your use case.

Network Isolation & Security

Configure firewall rules, VLAN isolation, and access-control policies so only authorized users on your internal network can query the AI model.

Internal Chat UI Deployment

Deploy a beautiful, private ChatGPT-like interface (Open WebUI, AnythingLLM) on your intranet for all employees to use securely.

RAG & Document Integration

Connect the LLM to your internal documents, PDFs, manuals, and knowledge base using Retrieval-Augmented Generation (RAG) — so the AI understands YOUR business.

Staff Training & Handover

Comprehensive onboarding session for your IT team. We document everything and ensure your staff can manage, update, and scale the system independently.

Supported AI Models

We install and configure any open-source LLM that fits your hardware and use case.

LLaMA 3.x
Meta AI
Mistral 7B
Mistral AI
Gemma 2
Google
Phi-3 Mini
Microsoft
DeepSeek
DeepSeek AI
Qwen 2.5
Alibaba
CodeLlama
Meta AI
Mixtral 8x7B
Mistral AI

$ ollama run llama3 # fully offline, your server, your control

Our Installation Process

A structured, zero-disruption deployment that gets your team using private AI in days — not months.

1

Discovery & Requirements Assessment

We start with a 45-minute technical call to understand your team size, use cases (document Q&A, code assistance, report generation), compliance requirements, and existing infrastructure.

Day 1
2

Hardware Procurement & OS Preparation

We recommend hardware specs and assist with procurement if needed. We then install or configure Ubuntu Server / Windows Server with CUDA drivers, Docker, and all dependencies.

Day 2-3
3

LLM Model Download & Optimization

We pull the selected model, apply quantization (GGUF/Q4/Q8) to balance speed and accuracy, and run performance benchmarks on your specific hardware configuration.

Day 3-4
4

UI Deployment & RAG Setup

We deploy Open WebUI or AnythingLLM on your intranet, connect it to your internal document library, and configure user authentication (LDAP/Active Directory integration available).

Day 4-5
5

Training, Documentation & Go-Live

We train your IT team, hand over full documentation (system architecture, update procedures, troubleshooting guides), and provide 30-day post-launch support.

Day 5-7

Why Local Instead of Cloud AI?

Cloud AI tools like ChatGPT are powerful — but they come with real corporate risks that on-premise LLMs completely eliminate.

Cloud AI: Data Privacy Risk

Every prompt sent to ChatGPT/Claude can potentially be used for model training or exposed in breaches. Your confidential business data is at risk.

Local LLM: Complete Data Sovereignty

Every query stays on your server. No vendor sees your data. Fully compliant with GDPR, HIPAA, and IT Act 2000.

Cloud AI: Recurring Subscription Costs

₹2,000–₹8,000 per user/month adds up fast. Enterprise plans cost lakhs annually and scale with usage.

Local LLM: One-Time Setup Cost

Pay once for installation. Run unlimited queries forever with zero per-token charges. ROI typically achieved within 4–6 months.

Cloud AI: Internet Dependency

No internet = no AI. Downtime at the vendor affects your entire team's productivity. You control nothing.

Local LLM: Always-On, Offline Access

Works on your internal network 24/7. No internet required. No downtime because of vendor outages.

Project-Based Pricing

Every organization has unique hardware, team size, and use-case requirements. We provide a detailed statement of work with transparent, fixed-price quotes covering:

Hardware recommendation & procurement assistance
Model installation, tuning & quantization
UI deployment & RAG document integration
Security hardening & network isolation
Staff training & full documentation
30-day post-deployment support
Get a Custom Quote on WhatsApp

Who Is This Service For?

🏥

Healthcare Organizations

Patient records, diagnostic reports, and clinical summaries processed with absolute data privacy compliance.

⚖️

Legal & CA Firms

Contract analysis, legal research, and document summarization without confidential client data ever leaving your office.

🏭

Manufacturing & Engineering

Query SOPs, technical manuals, and engineering specs using AI. Perfect for shop floor and R&D teams.

🏦

Finance & Banking (NBFCs)

Regulatory reporting assistance, loan document processing, and customer query automation — fully RBI-compliant.

💻

Software Development Teams

Private code completion and review with CodeLlama or Qwen-Coder — no proprietary code sent to OpenAI.

🎓

Educational Institutions

AI tutoring, assignment assistance, and administrative automation on a campus-wide private network.

Ready to Deploy Your Private AI?

Get a free 30-minute consultation to assess your requirements and receive a detailed quote within 24 hours.