Industrialising AI on a group-wide Azure platform
Turning AI pilots into production services on a shared Azure platform, with automated delivery and an API management layer in front of every model.
01 Services
Cloud
Public, private or hybrid cloud platforms that are secure, sovereign where it matters, and paid for by the hour you actually use.
01 Problems we solve
Where we usually step in.
- Workloads still run on obsolete operating systems and hand-built virtual machines.
- Cloud costs grow faster than usage, and nobody can say which team spends what.
- Some data cannot leave Europe, or your own datacentre, and the architecture has to prove it.
- Several clouds and on-premise clusters coexist without shared standards or tooling.
- Scaling and high availability depend on a few people and manual runbooks.
02 What we deliver
Concrete deliverables, not slideware.
01
Landing zones
Accounts, networks, identity and policies defined in Terraform or OpenTofu, ready for teams to deploy safely.
02
Migration programmes
Application-by-application assessment, migration plans and automated moves, from legacy VMs to cloud or containers.
03
Private and hybrid platforms
On-premise Kubernetes (Rancher, OpenShift) aligned with your public cloud services, so one delivery chain serves both.
04
FinOps
Cost visibility per team, rightsizing, auto-scaling and scale-to-zero, with savings measured on the invoice.
05
Sovereign architectures
European providers and data residency by design, with the trade-offs documented for your risk and compliance teams.
03 How we work
Pick the engagement that fits the problem.
01
Consulting & audit
Architecture reviews, cloud and FinOps audits, platform roadmaps. A clear diagnosis and a plan your teams can execute.
02
Team extension
Senior engineers embedded in your squads, following your rituals and tooling, with knowledge transfer built in.
03
Delivery projects
A defined scope, a committed outcome: a landing zone, a migration, a CI/CD platform, an AI service in production.
04
Managed run
We operate what we build: monitoring, incident response, upgrades and cost control, under agreed service levels.
04 Related work
Cloud in practice.
Migrating a legacy estate and bringing Kubernetes on-premise
An obsolescence programme covering about a hundred applications, plus an on-premise Kubernetes platform aligned with the group's Azure services.
≈ 100applications migrated off obsolete systems
Running a critical CRM API platform on hybrid cloud
Operating and automating the APIs behind the insurer's customer relationship core, while cutting their cloud costs by more than half.
24APIs operated and monitored
Elasticity and cost control on AWS
A short, focused engagement to put the AWS foundation under code, strengthen auto-scaling and bring the cloud bill down.
−35 %on the monthly cloud bill
Have a platform to build, migrate or fix?
Tell us about it. An engineer, not a salesperson, will answer within two working days.
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