The cloud was meant to make IT simpler and cheaper. For most businesses, it has become neither.
Most companies now run on a patchwork of public cloud, private servers and services nobody fully owns. The bill grows every quarter, few people can say why, and AI workloads are adding spend faster than finance can track it. When something breaks, the cost of the outage keeps climbing.
We design, migrate and run cloud platforms that are secure by default, automated end to end and built so that what you pay matches what you use.
85%
29%
73%
57%
of organisations say managing cloud spend is still their top cloud challenge.
of cloud spend is wasted, by organisations’ own estimate, and the figure is rising for the first time in five years as AI spend grows.
of organisations run hybrid environments, mixing public cloud with infrastructure of their own.
of operators say their most recent major outage cost more than $100,000. One in five put it above $1 million.
From the first move to the cloud to the platform that runs on it.
Six kinds of work, one engineering standard. Every environment we touch is automated, secured and costed before it carries real traffic.
Six layers under every cloud platform we build.
Your customers only notice the cloud when it fails or when the invoice arrives. These six layers are why neither should surprise you. Tap a marker to look inside.
AI and data sovereignty are redrawing the cloud map.
AI needs compute most cloud estates were never designed for. Boards and regulators increasingly want to know where data lives and who can reach it. Both reward the same thing: an architecture you understand, can move and can afford.
$80bn
20%
$42bn
to be spent on AI-optimised cloud infrastructure in 2026, almost double the year before, Gartner forecasts
to be spent on sovereign cloud infrastructure in 2026, up 35.6% in a year
of current workloads are set to move from global to local cloud providers as sovereignty spending grows, Gartner estimates
Design for portability
Containers, infrastructure as code and open standards, so moving a workload is a project, not a crisis.
Know where data lives
Region pinning, sovereign and local options, and encryption keys that stay in your hands.
Make AI spend visible
GPU budgets, usage tagging and cost per model, so AI experiments don’t become surprise invoices.
Six stages. No big-bang cutovers, no surprises on the bill.
Every stage ends in something you can review and sign off, and nothing reaches production without a rehearsed way back.
The right cloud is the one that fits the job, not the one with the best sales team.
We work across AWS, Azure and Google Cloud and have no reason to push you to any of them. Tell us what you need and here is where we would usually start.
Clouds
AWS · Microsoft Azure · Google Cloud · private and sovereign clouds
Containers & platform
Docker · Kubernetes · OpenShift · Helm · Backstage · serverless
Infrastructure as code
Terraform · OpenTofu · Bicep · Pulumi · CloudFormation · Ansible
CI/CD & GitOps
GitHub Actions · Azure DevOps · GitLab CI · Jenkins · Argo CD · Flux
Observability
OpenTelemetry · Prometheus · Grafana · Datadog · CloudWatch · Azure Monitor
Security & cost
Microsoft Defender for Cloud · AWS Security Hub · Vault · Wiz · Kubecost · FinOps Framework
Some of the clouds we build have to reach a ship in the middle of the ocean.
Our work in maritime and marine salvage taught us that the cloud doesn’t stop at the shoreline. Vessels sync over satellite links that drop and recover, data has to survive the gap, and in a live salvage operation the shore team needs the same picture as the crew on deck. We have deployed platforms and engineers onshore and offshore, in record time when it counted, and we bring that standard to every client.
Also building for logistics, manufacturing, energy, SaaS, healthcare, education and professional services.
Three ways in. One team accountable for the outcome.
Migration project
Platform team
Managed cloud
A fixed-scope assessment and migration, delivered in waves against a plan you sign off.
Cloud, platform and DevOps engineers working as part of your team, on a monthly plan.
We run, secure and optimise your cloud against agreed service levels, with a cost review every month.
Best for
data centre exits and first moves to the cloud
Best for
product teams shipping every week
Best for
businesses without a full-time cloud team
