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The practice

Depth you can check.

Distributed runtimes, contracts between systems that must not lie to each other, multi-region failover, and AI features a compliance officer will sign.

The layers we keep coherent

From the screen a customer sees down to the runtime carrying the load.

  1. Product & design systems
  2. APIs & integration fabric
  3. Data pipelines & warehouses
  4. Platform, cloud & observability
  5. qb runtime & high-throughput services

  • 01 · SYSTEMS

    Systems a new engineer can read

    Boundaries drawn where the business actually splits, names that match what the domain calls things, and performance budgets with headroom deliberately left in them.

  • 02 · DATA · AI

    Data and models on one definition

    Pipelines, warehouses, dashboards and models agreeing on what a customer is. Lineage you can walk backwards, and access control that holds at every layer.

  • 03 · GLOBAL

    Three languages, one specification

    French, English and Spanish across the working day, and European legal nuance handled by people who have had to comply with it themselves.

  • 04 · OPS

    Operations is part of the product

    Service objectives, error budgets, incident reviews written in plain language, and documentation that gets read because it answers the question people have at three in the morning.

One team, not five agencies

A single product should not need one supplier for the interface, another for the API, a third for the data and a fourth for the run. Our engineers cross those lines because the product already does.

In practice

  • Modern application stacks and high-throughput runtimes, with careful bridges when two systems have to agree on something neither was designed to say
  • Production operations as a habit: instrumentation, an on-call rota that works, and playbooks that outlive the people who wrote them
  • Databases, caches, object storage and messaging, chosen for their recovery story rather than for their conference talk
  • Distributed and real-time systems where a silent failure costs money, and a silent success nobody can explain costs trust
  • Security, privacy and identity as product requirements, including how an AI feature inherits every obligation the data already carried
  • Open-source maintenance: readable roadmaps, deprecations announced early, and answers to issues filed by people we will never meet
See the repositories
If your question starts with “is this even possible”, bring it. The answer is yes, no, or not yet. In the last two cases we will tell you what would have to change first.