Cloud modernization and private AI you control

Cloud and infrastructure modernization means moving systems to the setup that suits them: public cloud, your own servers or a private AI deployment. The aim is reliability and lower running cost, with your sensitive data staying under your control.

Signs you need this

  • Cloud or software bills keep rising
  • Releases are manual and stressful
  • Sensitive data cannot go to public AI tools
  • One server failure could stop the business

Three ways to do it

Start at the step that suits your budget and your appetite for change. Each one stands on its own.

  1. Step 1

    Cut the waste

    Review what you run and what you pay, then remove the waste and right-size the rest.

    Lower monthly bills
  2. Step 2

    Modernize how you run

    Move to containers, automated releases and proper backups, with monitoring you can trust.

    Calmer, faster releases
  3. Step 3

    Own your AI stack

    Run models on private infrastructure so that your data stays inside your control.

    AI with data sovereignty

How we do it differently

The usual wayThe Cehpoint way

Cloud migration as the automatic answer

We pick what suits each system, even when that means staying put

A monthly bill that never ends

One-time options such as Lifetime VPS where they fit

Your data trains someone else's model

Models that run where you decide

What you gain

  • Lower, more predictable running costs
  • Fewer outages
  • Faster, safer releases
  • Sensitive data stays in your control

Technology we use

  • Private and sovereign LLM deployment
  • Containers and automated delivery
  • FinOps cost control
  • Own-it-outright servers

Common questions

What is a private LLM?

It is an AI model that runs on infrastructure you control, so that prompts and documents do not go to a public AI service.

What is FinOps?

FinOps is the practice of understanding and controlling cloud and AI spending, so that you pay for what you use and nothing more.

Should everything move to the cloud?

No. Some workloads are cheaper or safer elsewhere. The right answer depends on the system, its data and how it is used.

Can you take over our existing servers?

Yes. We start by reviewing what you run today, then agree what to keep, move or retire.

Talk to us about cloud and private ai

Tell us what is holding you back. We will reply with the options that suit your company.