Private by default
Your prompts and files stay on the device in normal use. If you choose preload, it is handled as a separate, clearly defined step.
You should be able to see, in plain terms, why this system is worth trusting: where your data stays, what the device is genuinely good at, and what support looks like after checkout.
Your prompts and files stay on the device in normal use. If you choose preload, it is handled as a separate, clearly defined step.
selbsai is configured around open-model classes that are already strong for drafting, retrieval, multilingual work, and document-heavy workflows.
You get human support, statutory warranty cover, tracked shipping, and a visible customer portal from order to delivery.
The cloud is rented intelligence — convenient, but not really yours. Selbs AI is owned intelligence. Here's the trade, in plain language.
ChatGPT, Gemini, Claude — you ask, the answer travels through the internet to a stranger's server, and back.
A small, quiet computer that lives in your home or office and does the thinking right there. Nothing leaves the room.
If AI helps run your work, your life and business deserve more than rented access in the cloud. Local hardware now makes that level of privacy, autonomy and control practical and affordable.
Prompts, files and internal context stay inside your own perimeter instead of travelling to a provider far away.
No remote account dependency, no provider switch to flip, and no rented intelligence sitting between you and your work.
Serious local AI is finally practical as hardware: a one-time system you control, not a monthly model rent that keeps growing.
Cloud AI asks for ongoing trust. Owned hardware lets you set the rule.
Tell us the problem in plain language. We'll show you the unit and the personas that solve it — and pre-fill the configurator.
Drop them in. Ask anything. Get answers with citations, instantly. None of it leaves the device.
If you can set up a wireless printer, you can set up Selbs AI. If you can't set up a wireless printer — Selbs AI is even easier.
It boots in under 30 seconds. No installation wizards, no driver hunts.
Any device on your network sees it instantly. No accounts, no cloud sign-in.
It’s already loaded with a tested model and your chosen personas. From box to first answer in under three minutes.
That's it. The unit advertises itself on your local network via mDNS. No port-forwarding, no certificates, no DNS records to touch.
Confidence increases when the offer is concrete. Every node should read like a complete system, not a bare mini-PC with vague AI claims attached.
A selected device, tested memory profile, storage, and the right open-model class for the chosen workload.
Inference runtime, retrieval tooling, task presets, and optional personas installed before delivery.
A customer portal, upload path when needed, and clear next steps from order to first answer.
Human support, statutory protection, and a known route to help if setup or operation goes wrong.
Below is the actual path your question takes — with a typical cloud assistant, and with Selbs AI. It's not a metaphor. It's literally what happens, every time.
If the internet cable is cut, Selbs AI still works.
Can the cloud say that?
Most teams break even on Selbs AI in under 18 months. After that, the intelligence is essentially free. Move the sliders to see your own numbers.
16 months, your Selbs AI pays for itself. After that, your intelligence is free forever.
Estimates only. Numbers exclude electricity (~ 1–2 € / month) and assume cloud subscriptions are paid per active seat.
Trust is the highest currency for a product like this. Three things we commit to, in writing, in your warranty.
We use open-weight models and publish the firmware build. Anyone — your IT team, an auditor, a curious neighbour — can verify what runs.
A real switch on the chassis cuts the network entirely. Air-gap mode is one click away — not a setting buried in a menu.
Engineered in Germany. If something breaks, you talk to one of the engineers who built it. No call-centre, no AI chatbot, no ticket queue.
A premium hardware purchase needs post-purchase clarity. The buyer should know exactly what happens next and when support enters the picture.
The order is confirmed, payment status is visible, and the customer portal becomes the control point.
If selected, the customer receives a secure upload route and clear handling expectations for private files.
The node is configured, tested, and prepared around the selected workload before it leaves the bench.
Tracking, expected delivery, and onboarding guidance should remove ambiguity from the final handoff.
Each selbsai build starts with the profession, the documents, the risk level, and the operating boundary. The model is only one part of the appliance.
Configure an appliance →Contracts, case files, client memos
Cloud AI can turn a simple drafting task into a privilege, vendor, and data-transfer discussion.
Letters, notes, patient-facing summaries
Cloud AI may save minutes, then cost hours explaining patient-data handling and access controls.
Receipts, invoices, DATEV-oriented exports
Generic cloud AI is not built around German tax confidentiality, DATEV habits, or client-file minimisation.
Specifications, tenders, site notes
Cloud AI can make unpublished bids, designs, and client plans feel like material you no longer fully control.
Brand voice, creative drafts, client research
Cloud AI is fast, but it can blur ownership around prompts, drafts, client strategy, and pre-launch work.
Suitability notes, product documents, client portfolios
Cloud AI can create needless exposure around wealth, insurance, pension, and suitability records.
Policies, minutes, employee questions
Cloud AI is hard to defend when employee data, monitoring concerns, and internal conflicts are in scope.
Leases, exposés, owner reports, due-diligence files
Cloud AI can expose tenant, owner, pricing, and transaction context in a business built on discretion.
Yes. The core experience is designed to work locally on the device.
No. The point is to receive a configured node, not a hobby project.
Drafting, retrieval, multilingual work, document-heavy workflows, and private assistants are the core fit.
The customer portal, support path, and onboarding materials are part of the product experience.