CLOUD AND DEVOPS
Cloud platforms built to carry AI workloads to production safely.
We design, migrate and operate cloud environments on AWS, Azure and Google Cloud, with the delivery pipelines and controls that let teams ship frequently. As an AWS and Microsoft partner, we work with the platforms your architecture already assumes.
Migration with a business case
Each workload assessed for the right destination and the right time, with the cost modelled before it moves.
Pipelines people trust
Automated build, test and release paths that make deployment routine instead of an event.
Ready for AI workloads
Networking, identity and data controls set up so model deployment is a configuration step, not a project.
what we deliver
What we deliver
From first migration through to the platform your teams build on every day.
01
Cloud strategy and assessment
Workload analysis, target architecture and a migration sequence with costs attached.
02
Migration and replatforming
Lift, reshape or rebuild, chosen per workload rather than as a blanket policy.
03
Landing zones and platform engineering
Accounts, networks, identity and guardrails built once and reused by every team.
04
CI/CD and infrastructure as code
Pipelines and declarative infrastructure so environments are reproducible and reviewable.
05
Kubernetes and containers
Container platforms sized and operated for the workloads that actually benefit from them.
06
FinOps and optimisation
Visibility and accountability for cloud spend, with savings actioned rather than reported.
Cloud programmes rarely fail technically. They fail on cost, control and pace.
Cost
Unit economics modelled before migration and tracked after, so the business case survives contact with reality.
Control
Guardrails, policy and audit evidence built into the platform rather than added under pressure.
Pace
Release frequency treated as the outcome — the measure of whether the platform is working.