AWS architecture & platforms
Cloud foundations and production platforms on AWS, shaped around workload, security model and team capability.
- Landing zones
- EKS & container platforms
- Data and application services
Cloud, software and data – from design through operations.
Practical engineering capabilities for platforms, digital products and data-intensive initiatives.
01 / Cloud
The right cloud, not the loudest one.
We work across AWS, Google Cloud and Microsoft Azure. Selection follows data residency, regulatory context, existing skills and real operating costs.
Google Cloud engineering
Data- and application-oriented cloud architecture on Google Cloud, with clear operating and integration boundaries.
- Cloud foundations
- GKE & Cloud Run
- Data platforms & analytics
Azure platforms & integration
Azure environments for connected enterprise systems, modern applications and controlled identity and network models.
- Azure landing zones
- AKS & container platforms
- Application and data integration
02 / Engineering
What we build together
We take on well-defined engineering work and connect it to architecture, quality and operational readiness.
Cloud foundations & platform operations
Landing zones, IaC, Kubernetes, CI/CD, observability and cost controls that give product teams a dependable base.
System architecture & modernisation
Understand existing systems, expose boundaries and risks, then evolve toward maintainable services in deliberate steps.
Digital products & APIs
User-centred web products and backend services with clean interfaces and a deliberate testing strategy.
Data platforms & AI
Connect data sources, build dependable pipelines and add AI capabilities around a measurable use case.
Security & reliability
Bring security and operational requirements into architecture, access controls, testing and release processes early.
03 / Tools
Technology shaped around the problem
We favour established tools and select the stack together, based on requirements, team capabilities and long-term operations.
Cloud
Languages
Product engineering
Platform & delivery
Data & AI
04 / Context
Industry understanding starts with better questions.
These fields bring together sensitive data, complex integration and pressure to change. We start with the specific requirements of your initiative.
FinTech
Payment flows, partner integrations, data products and systems with demanding availability requirements.
MedTech
Privacy, traceable workflows and dependable interfaces across digital health products.
GovTech
Accessible digital services with clear identity, data residency and operating models.
Startups & scale-ups
Product and platform decisions that enable growth without burdening teams with unnecessary complexity.
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A challenging initiative?
Let’s clarify the architecture, risks and the next useful step together.
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