Cloud engineering, SovereignTech and hybrid migration
Cloud and on-premises infrastructure you control, wherever your data has to stay
When the platform no longer fits the rules
Data residency laws, sector regulators and public-sector rules decide where sensitive records may be stored and processed. Many enterprises find their workloads tied to one hyperscaler's proprietary services, their AI plans stalled because the data may not leave the country, and their own sites running on infrastructure that only a few people understand.
Moving is risky when nobody can say what depends on what. Staying put is risky when the platform no longer fits the rules, the costs or the workload.
What changes for you
Data where the rules require it
Each workload runs in the region, sovereign cloud or data centre your residency rules require, and its placement is written down for your auditors.
No lock-in
Infrastructure defined in open-source code and workloads packaged to move, so changing provider is a planned project, not a rewrite.
AI compute inside your boundary
Private GPU clusters and hybrid inference run models next to your data, with predictable latency.
What we deliver
Multi-cloud and sovereign cloud architecture
A target architecture across AWS, Microsoft Azure, Google Cloud, Alibaba Cloud and local government clouds, with each workload placed by its residency, latency and cost needs. A sovereign cloud keeps data, operations and legal control within one jurisdiction.
Lock-in assessment and exit plan
Which services tie you to one provider, what leaving would take in effort and risk, and a staged plan to make your workloads portable again.
Cloud-native re-platforming and migration
Workloads moved or rebuilt one at a time, in containers where that helps, with data synchronised before each switch and a rollback path for every step.
Private GPU clusters and hybrid inference
GPU clusters on your premises or in a sovereign cloud that serve AI models inside your boundary, with cloud capacity added only where the rules allow.
Edge compute
Compute at the sites, plants and branches where latency or connectivity demands it, orchestrated with the rest of the estate.
IT infrastructure: networks, servers, storage and identity on your premises
Most enterprise systems still run on infrastructure that someone has to look after, and when it is undocumented or understood by only a few people, every change is a risk. We assess what you have, agree the target design with your team and build it in stages, so your own sites and your cloud accounts follow the same rules for access, logging and recovery.
Infrastructure assessment
An inventory of your networks, servers, storage and identity services and how they depend on each other, with the risks ranked by impact.
Network design and segmentation
Offices, data centres and cloud accounts connected through segmented networks, with firewall rules that are written down and reviewed.
Servers and virtualisation
Physical servers, virtual machines or container hosts, sized for their workloads and built from documented, repeatable configurations.
Directory and access services
Central accounts, groups and single sign-on, with administrator access kept separate and every administrative action logged.
Hybrid connectivity
Encrypted links between your premises and your cloud accounts, with one set of rules for addressing, access and logging.
Monitoring and alerting
Health, capacity and security events collected in one place, with alerts that reach someone who can act on them.
Disaster recovery plan
Recovery objectives agreed for each system, a written plan, and rehearsals that show the plan works.
How the work runs
Assess the estate
We inventory workloads, data, dependencies and contracts, list the residency rules that apply, and talk to the people who run the systems every day.
Design the target
We agree with your team where each workload belongs, the provider-neutral standards it follows and the order of the moves.
Build the foundation as code
Networks, identity, guardrails and GPU capacity are defined in Terraform, OpenTofu or Pulumi and reviewed like application code.
Move in stages
Workloads move one at a time, each with a test and a rollback path. If an interruption cannot be avoided, it runs in a maintenance window you approve.
Document and hand over
You receive the diagrams, configurations, runbooks and recovery procedures, and decide whether your team runs the estate or we run it with you.
Proof in production
A regulated financial services institution in Europe and the Middle East needed AI on customer documents without the data leaving its jurisdiction. We built a private GPU inference cluster inside a sovereign regional cloud.
Clouds, tools and standards
- AI and machine learning
- vLLM
- Cloud
- Amazon Web Services
- Microsoft Azure
- Google Cloud
- Alibaba Cloud
- NVIDIA GPUs
- DevOps and observability
- Kubernetes
- Terraform
- OpenTofu
- Pulumi
- Docker
How to start
What happens next
Pre-consulting session
A free 30-minute online pre-consulting session: we go through your goals, systems and constraints.
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Choosing the track
Scope-ready projects receive a binding proposal within 3–5 business days. Concept-stage projects start in the Blueprint Studio. A live system that is failing, undocumented or needs integration starts with a diagnostic of 1–2 weeks. The Blueprint Studio and the diagnostic each have a fixed fee, quoted in the proposal.
Delivery in five stages
Mobilisation, sprints with live demonstrations, integration and hardening, acceptance and go-live, then managed services. After launch comes a warranty period, then optional support and maintenance.
AI-native product teams
Managed, cross-functional pods of senior engineers, equipped with agentic coding and QA harnesses.
Fixed-outcome projects and round-the-clock managed services
Fixed-scope, milestone-driven delivery with named delivery leads, and round-the-clock application managed services under SLA governance.
The quickest way in is the Cloud portability and AI token FinOps audit package, one of our rapid engagement packages.
Questions and answers
What is a sovereign cloud, and do we need one?
A sovereign cloud keeps data, operations and legal control within one jurisdiction. It may be a regional provider, a government cloud, a hyperscaler region with the right controls, or your own data centre. You need one when the law or your regulator requires certain records to stay in the country. We map which of your workloads fall under such rules before recommending where they run.
Which cloud provider should we use?
Usually the one you already use, unless there is a clear reason to change. The deciding factors are data residency, your existing contracts and skills, the managed services you need and how your other systems connect. We work across AWS, Microsoft Azure, Google Cloud, Alibaba Cloud and regional government clouds, and keep provider-specific code to the places where it is worth it.
How do you avoid lock-in?
Infrastructure is defined in open-source tools such as Terraform, OpenTofu or Pulumi, and workloads run on Kubernetes or other portable platforms. Where a provider's own service is the better choice, we use it on purpose and write down the route out. You end up with a written estimate of what moving each workload would take.
Should we keep our infrastructure on our premises or move it to the cloud?
It depends on each system: where its data may be kept, its performance and connectivity needs, its licences and what your team can operate. Many enterprises run a hybrid estate, which works well when it is designed as one. We compare the options on cost, risk and effort, and recommend the one we would choose.
Should we run AI models on our own GPUs?
Consider it when the data may not leave your boundary, or when usage is steady enough that owned capacity costs less than paying per call. We compare a private cluster, a sovereign cloud and a public model service for your workload, then size the cluster and the models it serves.
Will the migration interrupt our business?
We plan each move to avoid an interruption, or to keep it short and scheduled. Workloads move one at a time, data is synchronised before the switch and every step has a rollback path. Where a system cannot run in two places at once, we agree a maintenance window with you and rehearse the switch first.
Can you work with the equipment and systems we already have?
Yes. We start from what you have and replace only what is out of support or in the way of the design. Where hardware or licences must be bought, we specify what is needed and why, and you choose the supplier.
What does an IT infrastructure engagement cover?
It covers whatever your systems run on: networks and sites, servers and virtualisation, storage and backup, directory and identity services, monitoring, and the links to your cloud accounts. We can take on the whole estate or one part of it, such as a network redesign. The scope is agreed in writing before work starts.
What access do you need, and how is it controlled?
Each engineer has a named account with only the rights the task needs, and signs in with a hardware security key. Where you have a process for administrator access, we follow it. Administrative sessions are logged, and access is removed when the work ends or when someone leaves the project.
Ready to build? Ask for a proposal.
Send your requirements or RFP. Our architects validate them and return a binding, fixed-scope proposal.
What happens next
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Binding proposal
After architecture validation at no cost, you receive a binding, fixed-scope proposal within 3–5 business days: milestones, architecture, team structure and SLAs. We sign a non-disclosure agreement (NDA) with you on request, before you share your requirements.
Mobilisation
Once you sign, our engineering pods begin Sprint 0 within 5–10 business days of contract signature.
Delivery in five stages
Mobilisation, sprints with live demonstrations, integration and hardening, acceptance and go-live, then managed services. After launch comes a warranty period, then optional support and maintenance.