A working model is only the beginning. The question is how you get it into production securely, at scale and independently. That calls for an infrastructure designed specifically for it.
the platform your
ai runs on reliably
One managed foundation between your data and your end users: secure, scalable and without lock-in.
an AI Backbone assembled around what your organisation needs
built on European infrastructure, within your own jurisdiction
open source where possible, proven technology where needed
A modular AI Backbone, built for your organisation.
AI infrastructure is the layer between your data and your end user: the platform that serves, monitors, retrains and exposes models.
We build a modular AI Backbone on European servers, with open-source components where possible and proven technology where needed. Not a generic product we roll out, but a foundation we assemble around what your organisation needs.
The result: AI you can trust, manage and extend, without renegotiating licences every year.
From model to production infrastructure.
The backbone consists of four layers. Click a layer to see what it does.
API layer & integrations
Secure, documented APIs that make AI functionality available to existing systems, applications and teams.
You'll recognise one of these situations.
You want to run AI models in production but lack infrastructure that supports it securely and at scale.
You depend on external AI platforms and want to regain control over your own model environment.
Your models perform fine in tests, but not consistently in production.
You want to run multiple AI applications from one shared platform instead of separate, unmanageable environments.
AI you can trust, manage and keep developing.
A production-stable platform for AI, designed for your workloads
No vendor lock-in: open source where possible, adaptable and transferable
Full visibility into how models run, with monitoring built in
A foundation that grows with you: add new models and applications without starting over
Related expertise
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