Cloud, datacentre and AI platforms

Choose the right home for the workload.

When Azure, private cloud, VCF, Hyper-V and datacentre choices pull in different directions, Kritical brings the workload, data, cost and operating responsibility back into one practical platform decision.

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Choose a path that fits the workload, not the trend.

The answer may be public cloud, private cloud, on-premises infrastructure or a deliberate combination. We assess workload dependencies, security, performance, resilience, data location, cost and operational responsibility together before recommending a direction.

Azure and hybrid cloud
Compare Azure and hybrid cloud against the workload, data, identity and operating requirements.
VCF and private cloud
Consider VCF and private cloud where placement, control or existing platform investment matters.
Windows and Hyper-V
Include Windows and Hyper-V dependencies, support needs and the applications already in service.
Datacentres, storage and networks
Test datacentres, storage and networks against performance, resilience, recovery and cost.

Prepare the compute, data and controls the AI job needs.

AI is not only a model choice. Kritical connects the workflow to software engineering, integrations, information controls and platform capacity, then compares cloud, hybrid and on-premises options against the way the service must run day to day.

AI consulting

Turn a real service bottleneck into a useful, testable first use case.

AI engineering

Build the workflow, integrations, evaluation and operating controls.

AI document processing

Capture, extract, validate and route document information.

AI governance

Define ownership, decision records and lifecycle review.

Design for operation, not just deployment.

We plan how the service will be monitored, accessed, backed up, recovered and changed, then show the handover your team receives and the work Kritical can continue to operate afterwards.

Abstract AI / data compute visual (no robots)

Monitoring & access

Make monitoring and access responsibilities visible from the start.

Backup & recovery

Design backup and recovery into the operating model.

Change control

Define how the service is changed before handover.

Handover & operation

Show what the team receives and what Kritical can continue to operate.

Three situations we usually start from.

The cloud bill outgrew the plan

Spend keeps climbing and nobody can explain which workload is driving it, or whether moving it would help.

A Broadcom licensing change forced a decision

VMware costs or terms shifted, and the business needs an honest comparison of staying, moving or replacing the platform.

An AI idea has no home to run in

A real use case exists, but nobody has assessed the compute, data location and security controls it needs.

Why Kritical, specifically.

Continuity planned around your account

We aim to provide continuity through a consistent lead or delivery group where the agreed scope and service model support it. Your proposal sets out the contact model, cover and handover arrangements that apply.

A written quote

We review the supplied information, then confirm the scope, written price and expected timing.

We price the engineering work, not just the cloud bill

A subscription estimate is not a delivery plan. We scope and price the migration, integration and operating work itself.

We will recommend against cloud when that is the right answer

The comparison is built to find the correct platform for the workload, not to justify one vendor by default.

Questions before you enquire

Do you recommend cloud for every workload?

No single platform is right for every workload. We compare public cloud, private cloud and on-premises options against dependencies, controls, economics and how your team must operate.

Can you cover the physical datacentre as well as cloud?

Yes. The scope can connect racks, power, cooling, connectivity, compute, storage and virtualisation to the services they support.

Why is there no price shown on this page?

Workload count, data location, integrations and operating model change the cost too much for one published number. You get a scoped, written quote instead.

Can this include an existing VMware estate after Broadcom's licensing changes?

Yes. We assess the current licensing position, workload fit and migration options before recommending whether to stay, move to a private cloud path, or shift specific workloads elsewhere.

What should we bring to the first call?

Your current platforms, the workloads that matter most, known cost or performance pain points, and any compliance or data-location constraints already in place.

Can you run this alongside our existing IT provider?

Yes. The platform decision and its delivery can be scoped as a standalone engagement, with responsibilities and handover points agreed with your existing provider rather than replacing them by default.

Do you assess sustainability or power constraints for on-premises AI?

Where relevant, yes. Power, cooling and rack capacity are part of the same conversation as compute and storage, because an AI workload that cannot be powered reliably is not a usable platform decision.

Let’s define the next step.

Tell us what you want to achieve, what you have today and when it matters.