It's the process by which an already-trained model turns a request into a response. Along the way, your business's data passes through: contracts, client records, internal information. Sovereign means none of that trains models or gets stored outside your perimeter.
A user or an application sends an instruction: a chat message, an API call, or an event from an agent.
The system adds what's needed to answer well: history, retrieved documents, available tools.
The model processes the request with that context, inside the perimeter you control.
The result goes back to whoever asked. None of it is retained or used to train models.
From GPU provisioning to day-to-day operation. Your team doesn't set up or maintain anything.
We choose the deployment model with you, based on your security, volume, and budget needs.
Shared inference infrastructure inside the Inferana cluster, always in the EU, with isolation, zero data retention, and enterprise-grade security standards.
NVIDIA B200 hardware reserved exclusively for your organization within Inferana's infrastructure, with full isolation, predictable performance, and maximum privacy.
We deploy and operate the infrastructure inside your own data center or your provider's, when your security or regulatory needs require it.
Closed models are metered and billed per token: the more you process, the more you pay. With Inferana, you pay a flat rate based on your number of users and use open models without limits.
Scenario for a team with intensive AI usage via API: 4 billion tokens a month (80% input / 20% output) with GPT-5.6 Terra, Claude Sonnet 5 and Gemini 3.6 Flash. Approximate USD-to-EUR conversion, September 2026 exchange rate. Check each provider's current rates before deciding.
Most companies already pay for inference without realizing it: on every call to an external provider, on their terms.
Our API is OpenAI-compatible, so you connect your current integration by swapping the endpoint and key, with no code rewrite.
No. Neither your prompts nor your responses train or fine-tune any model, ours or third-party. What they do feed is your organization's Enterprise Knowledge Layer: knowledge that stays within your perimeter and never gets shared with other clients.
You pay a fixed monthly price based on your number of users, not per token processed. Open models run without limits; you only draw down balance if you use a frontier model.
That processing happens inside a perimeter you control, European infrastructure or your own data center, without the model provider seeing your data.
In the demo we go through your case: which models you need, where they run and what it takes to meet the regulation that applies to you.
We reply within one business day.
