Usage licenses
Access to private models we host for you.
€60/mo
We set up one dedicated server per 25 people.
- Hosted, private models — your data stays yours
- Predictable license tiers
- No data sent to third-party APIs
- Early access through the waitlist
On-premise AI is tailored to each company. Choose how you want to work with us — we scope the details together.
We set up individual, isolated communities — one private instance per client.
Access to private models we host for you.
€60/mo
We set up one dedicated server per 25 people.
We design, install and deploy AI on your own infrastructure.
On request
Consulting, governance, data and operations.
On request
Want a sense of the numbers? Estimate your potential savings vs the cloud. Try the calculator →
Estimate your monthly token volume and compare cloud cost with an on-premise setup.
Rough estimate for orientation only. Adjust the prices to your real figures — on-premise gives you unlimited tokens at a fixed cost.
How private, on-premise AI with open-source models compares to commercial cloud APIs.
| Privonis · on-premise | Commercial cloud APIs (GPT-4o, Claude, Gemini…) | |
|---|---|---|
| Where your data lives | Your infrastructure | Third-party servers |
| Privacy | Data never leaves | Sent to the provider |
| Cost model | Fixed, you own it | Per token, variable |
| Cost at scale | Amortizes as you use it | Grows with every query |
| Tokens | Unlimited | Metered & billed |
| Customization | Full (fine-tune, your models) | Limited to the API |
| Offline / air-gapped | Yes | No |
| EU data sovereignty | Yes | Depends on provider |
| Vendor lock-in | None — open source | High |
Qualitative comparison. Commercial APIs are great for some cases — we help you choose; we are not against them.
Owning open-weight models versus renting access under a proprietary license.
| Open-source models | Commercial license / API | |
|---|---|---|
| Model weights | You download & own them | No access |
| License | Apache 2.0 · MIT · open | Proprietary terms of service |
| Run anywhere | Yes, your hardware | Provider only |
| Usage limits | None | Rate & quota limits |
| Price changes | You control cost | Vendor can change anytime |
| Continuity | Runs forever, even offline | Depends on the vendor |
The promises we put in writing on every engagement.
Models and data stay inside your infrastructure — always.
Open-source models and multi-vendor hardware. You own everything.
We sign a confidentiality agreement before we see anything sensitive.
We scope your use case and feasibility before you commit.
European company, European data residency, European compliance.
Clear response times and ongoing maintenance you can rely on.
Many European and national programs co-fund digitalisation and AI projects. We help you identify and apply for the ones you qualify for.
European, national and regional funding for AI and digitalisation.
We help you map your project to the right program.
Make on-premise AI accessible for any company size.
Availability and conditions depend on each program and your eligibility. We advise; we are not a public body.
The essentials about on-premise AI.
The AI runs on hardware inside your own infrastructure (or a private environment you control), instead of a third-party cloud.
No. Your prompts, documents and customer data stay within your network. That is the whole point of on-premise.
It depends on your use case and the model size. We advise and source it — from a single GPU workstation to a multi-node cluster.
Cloud APIs charge per token. When the model runs on your own hardware you can process as many tokens as you want with no per-token billing.
Yes. We build governance, documentation and controls into the project to align with GDPR and the EU AI Act.
Often yes. Several European and national programs co-fund AI and digitalisation. We help you find and apply.