Research-grade AI, production-ready.
We design and build AI systems that organizations can own and run themselves. Agentic systems, LLM-powered tools, and custom models, deployed on infrastructure you control. European by default, globally capable.
own the model / own the cloud it runs on
Products in development.

Next-gen endpoint threat detection at the edge. Lightweight, Linux-native, always-on.
Private beta

AI investment assistant for self-directed investors. Systematic analysis delivered through conversation.
Coming soon

AI-driven user story testing for public websites — validates real user flows against human constraints.
In development
Three ways to engage, depending on what you need.
In-house tools shaped by what we see across industries. Designed around how people actually work.
Learn more →Custom solutions for organizations where the system has to keep working after launch.
Learn more →We place senior engineers in your organization. Your codebase, your standups, your team. Hands-on from the inside.
Learn more →Three models, one constant. Our engineers ship.
Industries where what we build shapes what someone buys, who gets a loan, and how someone is treated.
Teams we've worked with






More organizations want to run AI on infrastructure they control. Sometimes regulation requires it, often it is simply about not handing someone else the keys. We build the layer that makes this practical. Model serving, retrieval, and agent workflows run on hardware the customer owns, with the operators, the runtime, and the logs in their own hands.
Sovereignty here is technical, not geographic. It is about who holds the keys, who runs the system, and who can read the logs, not where the data sits. We build AI that organizations own outright, from the hardware to the model running on top of it.
When a project does not call for that, the default is still European cloud, for compliance and trust. The architecture is provider-agnostic, so a project can run on European infrastructure or on a global provider and the approach stays the same. We decide together based on the project and the data.
European providers we work with:
Open benchmark
To run AI on your own infrastructure, the model has to be small enough to own and good enough to ship. We built an open benchmark to find out where that line sits.
MetroLLM-Bench tests whether a compact, self-hosted model can run a real operational task from start to finish. One result stands out. A four billion parameter model we fine-tuned, shipped as a single 2.6 GB file, runs offline on a laptop and matches a frontier hosted model on the task it was built for. The benchmark, the model weights, and the code are all public.
Read about MetroLLM-Bench →
Continker is an AI engineering studio based in Amsterdam, the Netherlands. We have been building machine learning solutions since 2014, starting in finance and expanding into pharma, logistics, and retail.
Using state-of-the-art machine learning and AI, we build our own brand products, design custom solutions for organizations, and place senior engineers at clients on-site. Our infrastructure defaults to European cloud for compliance and trust.
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We are always open to a conversation. A thirty-minute call, no commitment, to figure out if a project, a secondment, or research is the right shape for what you are building.
Reach out →