Most systems fail quietly, long before anyone notices. We build the ones that don't.
What we do
Three practicesCloud architecture
Migration, platform design and cost control for teams running production workloads at scale.
Most engagements start with an estate that grew faster than its plan. We design platforms that survive contact with real traffic and real budgets, and hand back something a small team can operate without heroics.
- Landing zones and account structure
- Migration planning and execution
- Kubernetes and container platforms
- Cost modelling and FinOps
- Resilience, failover and DR testing
- Security posture and compliance baselines
AI development
Models, pipelines and evaluation built into the product rather than bolted onto it.
The model is rarely the hard part. We build AI features that stay grounded in your own data, get measured against the task they actually do, and run cheaply enough to leave switched on.
- Retrieval and data pipelines
- Application design and orchestration
- Evaluation harnesses and regression tests
- Model selection and fine-tuning
- Inference cost and latency work
- Guardrails and human review loops
Advisory
Short engagements that answer one specific question: what to build, what to buy, what to retire.
Sometimes you need a decision, not a delivery team. Two to six weeks, a proper look at the estate and the roadmap, and a recommendation you can act on — including when the answer is to do nothing yet.
- Architecture and code review
- Build-versus-buy assessment
- Cloud spend audit
- AI readiness and use-case triage
- Platform and vendor selection
- Team topology and hiring plan
The work shows up as nothing going wrong.
Move across the facade to bring the floors up. Twelve teams, one building, most of them working while you sleep.
