Cloud engineering / for systems that can't sit still.

We migrate, modernise, and operate AWS, Azure, and Google Cloud workloads — for teams whose roadmap, regulators, or release cadence cannot wait.

hyperscalersAWS · Azure · Google Cloud

founded2016

basedLondon · United Kingdom

Sectors

  • Finance
  • Insurance
  • Healthcare
  • Manufacturing
  • E-commerce
  • EdTech

Cloud Migration

Move production workloads to AWS, Azure, or Google Cloud without freezing the business that runs on them. Wave-planned, observability-first, with rollback every step of the way.

Application Modernisation

Move legacy systems forward without a rewrite that takes a year and ships nothing. Strangler-fig, tactical refactors, container-then-decompose — sequenced so each step survives on its own.

Cloud FinOps

Bring spend back under engineering control. Tag hygiene, commitment ladders, anomaly-driven savings — paired with the dashboards finance actually trusts.

Platform Engineering

Internal platforms that hold up when the second engineer joins. Paved roads, infrastructure-as-code, sensible defaults. Backstage, Terraform, Crossplane — chosen for the team you have, not the team in the talk.

Data & AI

The plumbing AI products forget to plan for: ingest, lineage, governance, retrieval. Built so the model layer can be swapped later without moving the data.

Managed Operations

We don't hand you a runbook and leave. Day-2 operations, on-call, SLO design, incident review — until your team is ready to take it back.

Sectors

Finance

Card schemes, payments, capital-markets back-office. PCI-DSS, SOC 2, FCA expectations, multi-region resilience by default.

Insurance

Policy admin, claims platforms, broker portals. Long-running workloads moved without interrupting underwriting cycles.

Healthcare

Provider systems, patient platforms, clinical data exchanges. HIPAA, NHS DSPT, audit-grade access paths.

Manufacturing

Edge-to-cloud telemetry, MES integration, OT/IT bridges. Reliability SLOs that survive a factory floor.

E-commerce

Peak-event platforms, checkout, catalog. Multi-region active-active sized for the Friday no one is allowed to apologise for.

EdTech

Multi-tenant learning platforms, assessment systems, identity. Quiet terms spent building; exam weeks spent staying up.

Process

  1. Diagnose
    A two-week read of the estate. Architecture, observability, dependencies, regulatory shape. We finish with a written assessment: what to do, what to leave alone, what we'd refuse to ship.

  2. Design
    Reference architecture, decision log, sequencing plan. Costed. Reviewed by your security and platform leads before a line of Terraform is committed.

  3. Build
    Iterations of two weeks, demoed live. Production from day one — no staging-only theatre. Hand-off documentation written as we go, not at the end.

  4. Operate
    Day-2 runs from us until your team is ready. SLOs, alert routes, incident review, postmortems shared in your tooling. We leave when the rota tells us to.

We finish what we start.

AWS. Azure. Google Cloud.

One finishing standard across all three.

Insights

  • MIGRATION
    The 60% migration. Why it stalls, and what finishing actually costs. The last 40% is rarely technical. Four shapes of stalled migration we keep being asked to recover, and the price of doing each one twice.
    Read More

  • FINOPS
    A FinOps maturity model, ranked by how much it survives a tag audit. Six checkpoints for where a cloud-cost relationship actually sits — not where the quarterly slide says it does. Ranked by what holds up under scrutiny.
    Read More

  • DATA-AI
    The data plumbing AI products forget to plan for. Most AI features fail at the ingest, lineage, and retrieval layers — not at the model. A field guide to the data work that has to happen before the model layer is interesting.
    Read More

Contact

Tell us what can't slip again. One working day to a written reply. If it isn't for us, we'll say so the same day, and point you somewhere it is.

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