Practical AI Infrastructure for European Companies
We help organizations introduce AI safely into their existing IT landscape. From the first proof of concept to a production-ready platform:
We combine modern DevOps practices with AI engineering to deliver solutions that are reliable, observable, secure, and aligned with European privacy expectations.
DevOps that ships faster, with control
With CI/CD, automation and release management teams can deliver updates more frequently and with fewer production issues. The result: faster time-to-market, better operational stability, and clearer governance across environments. AI assisted can further improve and automate dev and ops deliverables.
AI transitions that respect European data boundaries
Besides AI models AI in production requires also pipelines, evaluation, monitoring, and governance.
Properly designed end-to-end MLOps and LLMops workflows will result in AI systems are testable, measurable, and maintainable over time.
This all on infrastructure that supports cost effective technical hosting needs with respect to privacy and data protection.
MLOps & LLMops, end-to-end
- MLOps: automated model lifecycle (data → training → deployment → monitoring → retraining)
- LLMOps: safe, evaluated LLM workflows (prompt/version management, quality & safety checks, cost control, continuous improvement)
European-ready platform foundations
The engineering parts that AI needs to operate reliably in production are: automated pipelines, infrastructure as code, containerized deployments, observability, and security-by-design, so teams can iterate quickly without losing control.
Why this matters for Europe (data sovereignty + hosting)
Organizations increasingly need AI solutions that respect privacy, intellectual property, and European regulatory requirements.
We help customers choose deployment models that balance security, performance, and cost—from on-premises installations to trusted European cloud providers.
We work with modern workflow automation platforms such as n8n and support deployments on European infrastructure providers including Hetzner and Nebius Cloud where appropriate.
Deliverables
- AI Readiness Assessment
- AI Pilot Implementation
- Production AI Platform
- DevOps Modernization
- Secure AI Hosting
- Monitoring & Operations
- Automation & Workflow Engineering
- AI operations (MLOps / LLMops processes and governance)
- Model & prompt versioning, automated evaluation, and continuous monitoring
- Data/quality observability and operational trust in production
- Secure, European-hosting-aligned deployment approaches
Typical customer projects
- AI-powered documentation search
- Incident and log analysis
- Internal engineering assistants
- AI-assisted software development
- Knowledge management with Retrieval-Augmented Generation (RAG)
- Workflow automation using AI
- Production deployment of open-source LLMs
- Kubernetes-based AI platforms