Cloud platforms that are secure, cost-aware and built as code.

We design, migrate and run workloads on AWS, Microsoft Azure and Google Cloud, from landing zones and Kubernetes to the cost controls that keep the bill predictable.

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Sound familiar?

Migration plans that stall at the first awkward legacy system.
Cloud costs that grow faster than the business.
Environments built by hand that nobody can safely change.

How we approach it

Four stages, each ending with something your team can use.

Assess

Map workloads, dependencies, risks and costs. Agree what moves, what stays and in what order.
Land

Build secure, policy-driven landing zones and networking as code, ready for audit from day one.
Migrate

Move workloads in waves, containerising where it pays off, with a rollback plan for each.
Optimise

Tune for cost and resilience, then hand over the runbooks your team will use.

What we deliver

Cloud strategy and operating models
Landing zones and network design
On-premises to cloud migration
Containers and Kubernetes
Serverless architectures
FinOps and cost optimisation

Tools we use most

AWS
Microsoft Azure
Google Cloud
Kubernetes
Terraform
Argo CD

Consumer intelligence

A reproducible data platform for global trend intelligence

After a discovery phase, we designed and built WGSN's new data platform on AWS and Snowflake and proved it end to end with a social-media trend product.

WGSN
Public sector

A national-security data platform, built in six weeks

We built a platform to ingest, model and search petabytes of investigation data, cutting lead times from weeks to hours.

UK government agency
Trade finance

A trade-finance blockchain re-platformed onto Corda in six months

We migrated DLT Ledgers' trade-finance network from Hyperledger to R3 Corda on Azure and Google Cloud, from proof of concept to production in six months.

DLT Ledgers and R3