Cloudtopiaa

Most firms that design infrastructurehave never had to operate what they drew.

Cloudtopiaa designs and builds sovereign cloud, AI and data centre environments for organisations that want that capability inside their own walls. We do it having designed, built and operated our own public cloud region, so everything we put in front of a client is something we have already had to live with.

WHAT ONE TEAM HAS TO COVER

Sovereignty means being able to see, audit and operate the whole stack yourself. Each of these layers holds a decision that the layers above it depend on, and a team that only understands one of them cannot promise you the rest.

DESIGNED, BUILT AND OPERATED BY ONE TEAM

01WorkloadYour applications, your models, your agents, and the data they touch.
02PlatformConsole, API, quotas and chargeback, so teams can share capacity without fighting over it.
03Control planeOpen source and auditable, hardened and run by our own team, so every layer can be inspected.
04Compute and siliconGPU placement mapped to the physical topology, and models quantized for edge silicon where the data cannot move.
05Network and storageA fabric fast enough that the most expensive hardware in the building never sits waiting.
06FacilityPower density, cooling and containment designed for what will actually be deployed, not what fits today.

WHO COMMISSIONS THIS

Enterprises

Moving AI onto infrastructure they own

Renting GPUs and paying per token erodes margin as usage grows. Owning it fixes the economics, but only when the deployment is designed to use what it paid for.

Operators

Building new data centre capacity

AI racks draw several times the power of traditional servers. Changing a decision before construction costs a meeting. Changing it afterwards costs a project.

Institutions

Governments, regulators, research

The environment has to sit in a named jurisdiction, under their own key custody, with evidence an auditor will accept.

Tier-4

Our own region

Designed, built and operated by us, carrying production workloads today

12

Design services

From private cloud and HPC to power, cooling, key custody and cost per request

22

Labs under build

A three-year private cloud ecosystem, commissioned in 16 evidenced phases

What that looks like

Four systems where “probably fine” wasn’t an option.

01
Observability

Incidents that arrive with their root cause attached.

Cross-vendor observability for a platform where peak events are the load test, and the payments API cannot wait for a war room.

Read the proof piece →
02
Compliance and QMS

Compliance that lives in the system, not in a scramble.

Document control, CAPAs and audit readiness as substrate, so the audit finds a working system instead of a prepared performance.

See the compliance practice →
03
Cloudtopiaa

We run our own cloud, and that is the point.

Sovereign infrastructure on Tier-4 by deliberate choice: the standing proof that our designs hold up in production.

Explore Cloudtopiaa →
04
AI you can prove

Agents with evidence in the log.

Deterministic, verifiable, audit-ready AI running real workflows, with humans in the loop and every decision traceable.

See the AI practice →

TECHNOLOGIES WE ENGINEER WITH

AWS logo
OpenAI logo
ISO logo
IBM logo
Cloudtopia logo
Azure logo
AWS logo
OpenAI logo
ISO logo
IBM logo
Cloudtopia logo
Azure logo

HOW WE WORK

Nothing refuses to be understood if you pay it enough attention.

During the COVID oxygen crisis, concentrators were almost impossible to get. We bought the best machine we could find, took it apart, 3D scanned every component, and worked down to the physics of how a sieve bed pulls oxygen out of air.

Then we engineered our own, to production grade, with sieve beds designed for manufacture. We never sold a concentrator. Companies that did ship them bought their sieve beds from us.

Building our own cloud rather than renting one came from the same place.

IN PUBLIC

Claims are worth what they can be checked against.

Everything we put in public carries a name and a link. Today that is a book on the foundations of AI and a talk on how sovereign AI actually gets deployed, both by our founder. Standards work and the open source tools our engineers build are listed here as they go public, not before.

Standards, open source and published work