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AI Infrastructure

Private AI That Runs Inside Your Business

Keep your data, contracts, and customer information completely private with AI that lives on your own hardware.

The problem

Your data shouldn't leave the building

"We can't send our company data to ChatGPT or external AI services." Every contract, client record, and internal document you upload to a public AI tool becomes a compliance risk and a leak waiting to happen. For law firms, healthcare practices, finance teams, and any business handling sensitive IP, that risk is a hard stop on adopting AI at all.

AI that lives on your hardware, not someone else's cloud

AIERAX installs powerful open-source AI models directly onto your own servers or workstations, so every prompt, document, and answer stays inside your network. You get the productivity of ChatGPT-class tools without ever shipping a single byte to an outside provider. We handle the hardware specs, model selection, fine-tuning on your documents, and the secure interface your team actually uses day to day.

How it works

  1. Audit and sizing

    We map the use cases that matter most, the data sensitivity involved, and the hardware footprint required to run the right model at the speed your team needs.

  2. Hardware and model setup

    We procure or configure the GPU server, install the open-source model best suited to your workload, and lock it behind your firewall with proper access controls.

  3. Train on your knowledge base

    Your contracts, SOPs, product docs, and historical data are loaded into a private knowledge layer so the AI answers from your business, not the public internet.

  4. Roll out to your team

    We build a clean chat or workflow interface for your staff, train them on prompts that work, and document everything so the system is fully yours.

  5. Maintain and improve

    We monitor performance, update models as better open-source options ship, and tune the system as your business evolves.

A real example

A 40-person legal firm in Chennai was banning ChatGPT internally because associates kept pasting client contracts into it. AIERAX deployed a private AI server in their office running an open-source model trained on their case archive and contract templates. Within two months, associates were summarising 30+ contracts per day, cutting first-draft review time from 45 minutes to 8 minutes, and not a single document ever left the firm's network.

Business outcome

  • Your data never leaves your network or country
  • No per-user or per-token cloud AI bills
  • Works offline and during internet outages
  • Compliant with strict client and regulatory NDAs
  • Tuned on your documents, not the public web
  • Full ownership of the model and the hardware

Technologies

  • Llama 3
  • Mistral
  • Ollama
  • vLLM
  • NVIDIA GPU servers
  • LangChain
  • ChromaDB
  • Open WebUI

Common questions

Is on-premise AI really as good as ChatGPT?

For most business tasks like drafting, summarising, answering questions from your documents, and internal Q&A, modern open-source models are within striking distance of the big commercial ones. The trade-off is a small dip in raw capability in exchange for total privacy, zero usage fees, and a system tuned specifically on your data.

How much does it cost to set up a private AI server?

Hardware for a capable on-premise AI box typically starts around the cost of a high-end workstation and scales up with team size and model size. AIERAX gives you a fixed quote covering hardware, setup, model deployment, training on your data, and the user interface, with no surprise per-seat fees afterwards.

Do I need a dedicated IT team to run this?

No. We design the system so a non-technical office manager can handle day-to-day use, and we offer an ongoing maintenance plan for updates, monitoring, and model improvements. You own the box, we keep it healthy.

Can the AI learn from our internal documents and SOPs?

Yes. We load your contracts, manuals, process docs, and historical records into a private knowledge layer so the AI answers questions from your business, not from the open web. New documents can be added at any time and the system picks them up automatically.

What happens if the model gets outdated?

Open-source AI moves quickly, and new and better models ship every few months. As part of our maintenance plan we swap in newer models on the same hardware, so your investment keeps getting smarter without buying a new server.

Will this work without internet access?

Yes. Once installed, the AI runs entirely on your local hardware and continues working during internet outages or in air-gapped environments. This is one of the main reasons regulated businesses and field operations choose on-premise over cloud AI.

Want this for your business?

Let's talk about what this looks like for your specific situation. We respond within 24 hours.