Private AI Deployment — Run AI on Your Own Infrastructure | AIGent Georgia
Service 02  ·  Private On-Premise AI

Private AI Deployment
Run AI on your own infrastructure.

Most businesses pay thousands monthly in cloud API fees — while their most sensitive data flows through foreign servers. We physically deploy a dedicated AI server inside your office and install a private language model. Everything runs locally. Not a single byte leaves your network.

Zero data egress
One-time setup cost
No per-token fees
Full data sovereignty
The Problem

Cloud AI is costing you more than money

Every time you send a prompt to a cloud AI, you are paying with money, data, and control — often without realising it.

Unpredictable Cost

API tokens accumulate fast. At scale, cloud AI costs thousands per month with no ceiling — and prices can change overnight with no warning.

Your Data Leaves Your Network

Every prompt you send to OpenAI, Google, or Anthropic is processed on foreign servers. Their terms of service may allow use of your data for model training.

Vendor Dependency

Price hikes, outages, and policy changes are outside your control. You are renting intelligence you do not own, from infrastructure you cannot inspect.

How It Works

Your AI. Your hardware. Your rules.

A clear, low-risk four-step process from initial assessment to a fully operational private AI server inside your building.

01

Infrastructure Assessment

We evaluate your existing hardware, network topology, and data volumes. You receive a clear deployment proposal within 48 hours — no commitment required.

Hardware review Network audit 48h proposal
02

On-Site Server Deployment

Our engineers physically visit your premises, rack-mount a dedicated AI server, and configure the network with full isolation — zero external calls from day one.

Site visit Server installation Network isolation
03

Private LLM Installation & Fine-Tuning

We install a curated open-source language model and fine-tune it on your internal documents, manuals, and product data — all processed locally on your hardware.

Model installation Data fine-tuning Local processing only
04

Internal Data Access & Go-Live

The AI receives read-only access to approved internal directories. It queries, summarizes, and reasons over your company knowledge — entirely air-gapped from the public internet.

Read-only access Air-gapped Staff training
On-Premise AI Server
Private LLM Engine
running locally
Internal Knowledge Base
read-only
Local API Gateway
port 8080
Zero external egress
All data stays within your network perimeter
Inference activity
Local queries: 142/secLatency: 89ms
Comparison

Private AI vs Cloud AI — side by side

The difference is not just about privacy. It is about ownership, cost predictability, and long-term control.

Cloud AI
AIGent Private
Data location
Foreign servers
Your hardware
Monthly cost
Per-token, unpredictable
Fixed setup cost
Customization
Generic, limited
Fine-tuned on your data
Internet required
Always
Optional
Data privacy
Terms-dependent
Full control
Vendor lock-in
Yes
None
Outage risk
Platform-dependent
Zero
Who It Is For

Built for businesses that cannot afford to compromise

Private AI deployment is the right choice whenever sensitive data, regulatory compliance, or cost at scale is a concern.

Healthcare

Patient data must remain within your facility. Full compliance with medical data regulations.

Legal Firms

Client confidentiality is non-negotiable. Every document and case file stays on your premises.

Financial Services

Regulatory compliance requires data sovereignty. No customer financial data leaves your network.

Manufacturing

Proprietary processes and trade secrets processed locally, never exposed to external infrastructure.

Government & Public Sector

Data sovereignty requirements demand full on-premise control with zero foreign cloud exposure.

Enterprise Retail

Large customer datasets and purchase history processed at scale without per-token API costs.

Technical Details

What exactly gets installed

Full transparency on every component of the deployment — no black boxes.

AI Model

  • Open-source language model, selected based on your use case and hardware
  • Fine-tuned on your internal documents, FAQs, and product data
  • Model updates available on request via VPN or on-site visit

Hardware

  • Assessed per client — we recommend or supply the right server configuration
  • Dedicated rack-mount or tower server, installed on-site by our engineers
  • GPU-accelerated inference for fast response times

Network & Security

  • Fully isolated — zero outbound internet calls configured at the firewall level
  • Local API exposed only within your internal network
  • Optional VPN access for remote support and model updates

Data Access

  • Read-only access to approved internal directories only
  • You define exactly which folders and files the model can access
  • Full audit log of all queries available on request
Pricing

Custom pricing based on your infrastructure

Every deployment is different. We assess your environment first and provide a clear, fixed-cost proposal — no surprises.

Private AI Deployment

Priced after an initial infrastructure assessment. The proposal covers everything from hardware to go-live, with no hidden fees.

Custom pricing — assessed per client
What is included
  • On-site infrastructure assessment and proposal
  • Physical server installation at your premises
  • Private LLM installation and fine-tuning on your data
  • Network isolation and API configuration
  • Staff training and full documentation
  • Ongoing support package available
Request an Infrastructure Audit
FAQ

Common questions about private AI deployment

What hardware do I need?

We assess your existing infrastructure first. In most cases we recommend and supply a dedicated server as part of the deployment. The exact specification depends on your data volumes, number of users, and required response speed.

How long does on-site installation take?

Most deployments are completed within 2 to 4 weeks — including site visit, server installation, model fine-tuning on your data, and staff training. The timeline varies based on the complexity of your environment.

Can the private AI connect to our existing software?

Yes. We configure a local API gateway so your existing tools, dashboards, and internal applications can query the model. Everything runs within your network — no data leaves to reach an external service.

What happens when the model needs an update?

Model updates are applied on request. We can do this remotely via a secure VPN connection, or during a scheduled on-site visit if you prefer physical access only.

Is there ongoing support after deployment?

Yes. Ongoing support packages are available, covering remote monitoring, model updates, performance optimization, and on-site visits. We agree on the support scope as part of the initial proposal.

How is this different from using ChatGPT with a private account?

With ChatGPT or any cloud AI service, your data is sent to and processed on external servers — regardless of account type or privacy settings. With our private deployment, the model runs entirely on hardware inside your building. No prompt, no document, and no query ever leaves your network.

Ready to take AI off the cloud?

Request a free infrastructure assessment. We will review your environment and return a clear deployment proposal within 48 hours.

Ready to grow your business with AI?

Book a free 30-minute consultation…

No commitment. Assessment is free. Response within 24 hours.