Infrastructure and data that scale. Without the lock-in.
We design, migrate and operate cloud infrastructure on AWS, Azure and Google Cloud, and build the data platforms, pipelines and analytics that sit on top of it. Provider-agnostic by choice, so the architecture follows your needs rather than a vendor's catalogue.
The problems this solves.
Infrastructure that resists change
On-premises or ad-hoc cloud estates make every new environment slow and every release risky.
Cloud bills nobody can explain
Resources are over-provisioned and costs grow without a clear link to what the business uses.
Data in too many places
Databases, SaaS tools, devices and external APIs each hold part of the picture, and none of it joins up.
Reporting that can't keep up
Teams wait on manual extracts instead of working from trusted, current dashboards.
From problem to production.
Assess what you run today
Map workloads, data sources, costs and constraints before recommending anything.
Design the target platform
Pick service models, providers and data architecture that match how much you want to own.
Migrate and build in stages
Move workloads and stand up pipelines incrementally, with automation and governance from the start.
Operate and optimise
Monitor, tune and right-size so performance and cost stay under control.
Questions customers ask.
Which cloud providers do you work with?
AWS, Microsoft Azure and Google Cloud. We are provider-agnostic on purpose and recommend whichever fits your workloads, skills and commercial position.
Do we have to move everything to the cloud?
No. We assess each workload and recommend what to move, what to modernise first and what to leave where it is.
Can you build on the data tools we already use?
Usually, yes. We work across common databases, warehouses and BI tools, and design pipelines around where your data already lives.
Talk to our Cloud & Data team.
An engineering lead will review the scope and reply within one business day to set up a discovery call.