We design cloud foundations that are secure by default, move workloads onto them with a plan, and keep the bill understandable as usage grows.
What it means in practice
- Landing zones, account structure and security baselines.
- Migration and modernisation, from lift-and-shift to containers and serverless.
- Cost optimisation: right-sizing, commitments, tagging and showback.
- Architecture reviews for new AI and data workloads.
What you get
- Target architecture and a migration plan
- Infrastructure as code for your foundations
- A cost baseline with savings opportunities
- Documentation and a handover
Typical stack
- AWS
- Azure
- Google Cloud
- Terraform
- Containers and serverless
We work with the tools your teams already use.
How it runs
- AssessWe review your architecture, data, goals and constraints, and agree what success looks like.
- DesignTarget architecture, a delivery plan and the measures we will be judged on.
- BuildShort iterations, working software early, built alongside your team in your accounts.
- RunWe operate it to agreed service levels, improve it, or hand it over with runbooks.
Tell us where your AI is stuck.
One conversation with an engineer. No sales script.