TECHNOLOGY

Current work, on current stacks.

The domains below are where our teams ship today, in production, for European clients. Under them sit the roles that make the depth real.

TECH

The domains we work in.

Not a capability catalogue — the places our engineers are deployed right now. The list moves as the work moves.

  1. 01

    Agentic AI systems

    Tool-using agents and multi-step workflows taken to production with evaluation, guardrails and a human decision point where one belongs.

  2. 02

    AI platform engineering

    Model access, retrieval, context pipelines, cost and latency budgets — the platform layer that turns a promising prototype into a service your teams can rely on.

  3. 03

    Cloud and platform infrastructure

    AWS and Azure landing zones, Kubernetes, infrastructure as code and CI/CD, built so the team that inherits it can operate it without us.

  4. 04

    Connected vehicle backends

    High-volume telemetry ingestion, fleet and device services, and the release discipline automotive-grade backends demand.

  5. 05

    Data and integration

    Event streams, APIs and data products that connect the AI layer to the systems your business already runs on.

  6. 06

    Security, identity and EU data residency

    Zero-trust access, identity federation and EU-hosted model and data paths — designed in from the start, not retrofitted the week before a vendor review.

  7. 07

    Quality and release engineering

    Automated test strategy, observability and progressive delivery, so speed never arrives at the cost of a loud on-call rota.

TEAM

The roles behind the stack.

We staff balanced teams, never a single hire. These are the competencies you get access to — the mix follows your roadmap, not who happens to be on the bench.

  • Engagement lead

    One accountable name for the outcome. Runs the plan, the risks and the reporting, and stays reachable between the demos.

  • Principal engineer

    Owns the architecture and the trade-offs, and writes the first hard part of the system rather than reviewing it from a distance.

  • AI engineer

    Builds the agents, retrieval and evaluation harnesses, and knows which problems a model should not be pointed at.

  • Platform and DevOps engineer

    Landing zones, pipelines and runtime. Makes deployment boring and reversible.

  • Backend engineer

    Services, data flows and integrations against the systems already carrying your business.

  • Fullstack engineer

    The interface where the capability meets the people who use it, built to the same bar as the backend.

  • Security and identity engineer

    Access, secrets and data paths reviewed against EU obligations while the design is still cheap to change.

  • Quality and release engineer

    Test strategy, observability and release mechanics — the difference between shipping fast once and shipping fast for two years.

Want the detail on a specific stack?

Tell us what you are building on and we will come back with the depth, the trade-offs and the references that actually apply — not a generic capability deck.

Talk to our engineers