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AI Infrastructure
LLM stacks, GPU-backed inference, RAG pipelines and MCP integrations — running on EU cloud by default, or on your own hardware when your compliance team prefers it.
Services
Our products cover the work we see most often. When your problem does not fit one of them cleanly, we take on the custom build — same stack, same discipline, same EU hosting. Most engagements start as an extension of an existing Netta product.
Every engagement maps to at least one of these. Most touch two.
01
LLM stacks, GPU-backed inference, RAG pipelines and MCP integrations — running on EU cloud by default, or on your own hardware when your compliance team prefers it.
02
Data lakes, warehouses, ELT pipelines, observability. From sensor logs to executive dashboards, with data lineage you can defend.
03
Bespoke admin panels, knowledge bases, automation and bots that turn quiet operational pain into solved problems.
04
AI strategy, vendor selection, security and pre-audit health checks. Sometimes the right answer is to do less, slower.
How an engagement looks
Two weeks, fixed price. We map the problem, the constraints, the data, the stakeholders. You walk away with a plan whether we build it or not.
Fixed-scope milestones, weekly demos, code in your repo from day one. No surprise invoices, no mystery black boxes.
Deployed to our EU infrastructure, or to yours if you prefer. Documentation, runbooks and training sessions included.
We keep it running for you on a monthly retainer. Or, if you would rather, we hand it over fully and step back.
The stack we standardise on
Opinionated on purpose. We can step outside it when the engagement requires it, but these are the tools we have the deepest scars with.
Get in touch
A 30-minute intro call, no slides. Tell us what hurts and we’ll tell you whether we can help.