Local AI.
The future in your hands.

In principle, yes. The main difference is model size. Cloud AIs like ChatGPT run huge models with knowledge you'll probably never need for your use case. For local AI, we recommend specialized models instead (one for image recognition, one for code, and so on). The goal isn't to rebuild ChatGPT locally — it's to leave out the parts you'll never use.

True — and that's actually a benefit for the environment too. The Box is built to be energy-efficient for local, targeted requests and process support. Cloud providers scale in parallel for millions of users and consume power accordingly. Local AI achieves the same or better results with less compute, because it runs smaller, specialized models.

Yes. We run the Box ourselves day to day inside the SEQIS Group — across development, testing and consulting. We pass that experience on when you start: we set up your first use cases together with you, train your team, and support day-to-day operation for as long as you need it.

Three options: (1) We handle everything remotely under a maintenance contract. (2) You maintain the Box yourselves. (3) You want to maintain it yourselves but need the know-how — for that, we offer training that covers everything you need to know to run it in a way that is compliant with GDPR and the EU AI Act.

We use hardware architectures with unified memory, where the GPU can also use the main system memory. Dedicated GPU cards often draw 800–1,000 W; our hardware draws 30–300 W. We handle procurement, pre-installation, and configuration for you. For a small installation fee, we'll even set it up on-site if you're in the greater Vienna area.