What we do
A ladder, and you enter where it makes sense. Use our cloud, Cloudtopiaa, running on Tier-4 infrastructure by deliberate choice. Or we design a cloud on your colocation, OpenStack-based, sized and costed honestly. Or we design the data centre itself: power, cooling, network fabric, the physical layer most cloud consultancies have never touched.
When private infrastructure beats the hyperscalers
Not always, and a firm that says otherwise is selling racks. The cases where the math flips: steady-state workloads where three years of reserved pricing still exceeds owned capacity, data-residency and sovereignty requirements that make foreign-controlled clouds a legal question rather than a technical one, egress-heavy architectures where the meter is the business model working against you, and GPU workloads where committed capacity on your own floor beats spot-market anxiety.
We will run the comparison against your actual bill; sometimes the honest answer is stay where you are and fix the architecture.
Designed on purpose
Cloudtopiaa exists because we wanted our infrastructure claims tested in production. The design decisions are deliberate and we will walk you through them: Tier-4 data centre placement for the availability floor, an OpenStack platform engineered for predictable performance rather than benchmark peaks, and network fabric and storage tiers chosen for the workloads sovereign customers actually run. When we design a cloud for your colocation, the same decision discipline applies to your constraints, and you get the reasoning in writing, not just the topology diagram.
Down to the physical layer
Most cloud consultancies stop at the API. Our practice extends through rack design, power and cooling budgets, and network physical topology, proven in a multi-year private cloud ecosystem delivered across 22 laboratories for an engineering institution, and in the data centre design work behind our own platform. When your program includes the building, the floor and the fabric, that is not a subcontract for us.
Questions we hear before engagements
Is private cloud actually cheaper than a hyperscaler?
For steady-state and egress-heavy workloads, often materially; for spiky workloads, often not. The comparison is arithmetic on your real usage, and we show the working.
What about lock-in?
Open-source platform, standard APIs, your hardware where applicable, and an exit path documented as a deliverable. Lock-in is a design choice, and we design against it.
Can you migrate us from a hyperscaler?
Yes, with the same verified-migration discipline as our modernization practice: rehearsed moves, parallel running, reconciliation, boring cutover.
Who operates it afterwards?
Your team after a real handover, our managed operation, or shared. Decided upfront so the design matches the operator.
Related capability
If your system has to be right, let’s talk.
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