Private AI infrastructure

Your own AIrunning on your infrastructure.

We set up local LLMs on your servers or a private cloud you control. Your team gets AI; your data never leaves.

Data stays in

Prompts and files never reach a public API.

Predictable cost

Fixed infrastructure instead of a per-token bill.

No lock-in

You own the setup and choose the models.

Is local right for you?

Local wins when

  • Your data is sensitive or regulated
  • Your team uses AI heavily, every day
  • IT has to sign off on where data goes

Tradeoffs

  • Hardware or private cloud costs up front
  • Open models trail the top online ones on the hardest tasks
  • Someone has to maintain it (we set it up and hand it off)

The detail IT will ask for: Security and data

Where most teams start

Documents. Invoices, contracts and claims are high-volume and sensitive, which is where local pays off fastest.

Bulk document processing

How we set it up

  1. Step 1

    Assess

    Your use cases, data and hardware.

  2. Step 2

    Test

    Candidate models on your real tasks.

  3. Step 3

    Recommend

    Local, hybrid, or stay hosted.

  4. Step 4

    Deploy and hand off

    Running on your infrastructure, your team trained.

Local isn't always cheaper. We measure before we recommend it. How we work out the break-even

Need a stronger model sometimes? A local check comes first.

  1. 01

    Check locally

    Personal data and policy checks run on your side first.

  2. 02

    Mask or block

    What must not leave is removed, with a reason IT can audit.

  3. 03

    Then send, if allowed

    Only the cleaned request goes to the online model.

Gateway previewIllustrative
  • PassSupplier price list, 3 pagesNo personal data · public terms
  • RedactCustomer complaint emailName, phone, and account number masked before send
  • BlockEmployment contract draftPolicy: HR documents never leave

Only the allowed payload continues to the external model

A demo and pilot capability today, not a certified product.

Ask for the gateway walkthrough on the discovery call

Find out if local AI fits your company.

We'll tell you whether local, hybrid or hosted is the right answer.

Book a discovery call

Or write to hola@aekora.com

For ITModels we evaluate

The list changes; the method doesn't.

JobExamples we may evaluate
General assistants and chatQwen3, Gemma 4, Llama 4 Scout*, Mistral, sized to your hardware
Documents and OCRPaddleOCR-VL, DeepSeek-OCR, Granite-Docling, Mistral OCR, Qianfan-OCR

* Its community license restricts some rights depending on where an organization is domiciled. We verify the current terms before recommending it.