Engineering for speed today and adaptability tomorrow.
Platforms succeed when code, infrastructure and integrations move in sync. Our engineering practice is built on automation, platform thinking and a product mindset, so teams ship faster, operate with confidence, and stay ready for new demands such as more data-driven and AI-supported capabilities.
What makes our engineering different
- Automation as a default. We standardise the path to production with infrastructure-as-code, repeatable pipelines, and environment templates. Delivery becomes predictable and onboarding gets easier.
- Platform, not projects. We treat your stack like a product: clear interfaces, shared components, usable docs, and observability from day one. It scales because it’s designed to.
- Composable without lock-in. We design integrations around open patterns and clean contracts, so vendors can change without rewriting everything.
- Ready for automated and AI clients. We model APIs and events so they are safe for both front-ends and automated consumers to use. Sensitive data and business rules live behind clear contracts and guardrails, which makes it much easier to introduce assistants or other AI components later without giving them a free run through your systems.
Evolve - our commerce accelerator
A proven foundation for composable commerce.
Evolve gives teams a head start with reusable domain services, integration patterns, and deployment automation. It reduces risk at the start and creates momentum for continuous improvement.
Why it matters
- Faster time to value. Teams can replatform in ~12 weeks when the context fits, because the groundwork is already done.
- Battle-tested at scale. Evolve powers 40+ production sites representing over €2B in annual revenue.
- Open by design. Built to avoid lock-ins and integrate cleanly with leading MACH vendors across CMS, PIM, search, and payments.
How it fits your stack
- GraphQL-based domain model for a consistent API surface.
- Cloud-native deployment with flexible hosting choices.
- Integration library and templates that adapt to B2C and B2B use cases.
Integration patterns we rely on
- API-first contracts that keep front ends and services loosely coupled and give automated clients a single, reliable way in.
- Event and job flows for reliable data syncs and recoverable failures.
- Observability hooks (logs, metrics, traces) wired into every critical path, so you can see how systems – and any AI components that call them – behave in production.
- Security and governance embedded in pipelines and environments, including access control and audit trails around sensitive data.
When this approach is a good fit
- You’re moving to composable and want predictable delivery and operations.
- You run multiple brands or markets and need reuse without rigidity.
- You expect vendor change over time and want the freedom to switch cleanly.
- You want a platform that is easy to extend, not just easy to launch.
- You plan to use more automation or AI in the future and prefer to build on a stable integration layer instead of wiring models directly into each tool.
What you’ll get
- A stable integration layer with clear contracts and documentation.
- Automated environments and deployment pipelines you can trust.
- A roadmap for evolving the platform without starting over.
- The option to accelerate delivery with Evolve when it’s the right fit.
