Engineering services for systems your team has to operate
Four connected practices for cloud platforms, delivery systems, production AI and software engineering. Each can run independently or combine when the work crosses boundaries.
Four practices, one accountable team
Each practice can run standalone or combine into a single programme with shared architecture decisions and one delivery cadence.
Three ways to work with us
The right model depends on how bounded the work is and who owns the outcome afterwards.
Dedicated engineering team
A cross-functional squad working to your roadmap, embedded in your boards and review process.
Best for
Multi-quarter programmes such as a migration, platform build or product workstream where continuity matters more than a fixed scope.
- Named engineers with defined roles
- Your ceremonies, repositories and standards
- Roadmap-level planning with regular demos
Fixed-scope project
A defined outcome with agreed deliverables, acceptance criteria and a milestone plan.
Best for
Well-bounded work such as a landing zone, a CI/CD standardization effort, a migration wave or an AI evaluation harness.
- Scope defined after a short discovery
- Milestones with acceptance criteria
- Documented handover at completion
Engineering extension
Individual specialists added to your existing team to cover a capability gap or delivery peak.
Best for
Teams that own the direction and need cloud, DevOps or AI depth alongside their own engineers.
- Specialists working under your leads
- Integration into your process and tooling
- Flexible ramp up and ramp down
Assess, design, implement, validate, operate
The same five stages on every engagement, sized to the work rather than stretched to fill a template.
Assess
Inventory the current state, constraints and regulatory scope, and agree what a good outcome looks like.
Design
Produce the target architecture and delivery plan with trade-offs and decision records written down.
Implement
Build in reviewable increments as code, proving each piece against a real workload.
Validate
Test the paths that matter: failover, restore, access boundaries, performance, cost and quality gates.
Operate & optimize
Hand over with documentation and enablement, then iterate on measured findings.
Platforms we engineer on
Tooling is selected against your constraints and your team's experience. We make no claim to formal partner status with any vendor.
Cloud platforms
Infrastructure as code
Containers and delivery
Observability and security
AI and data
Application engineering
Questions we hear before an engagement starts
Talk to the engineers who would do the work
Bring your current architecture, constraints and the problem you are trying to solve. We will tell you what we would change first, what it depends on, and where we would start.