Sovereign AI
Your AI. Your data. Your infrastructure.
Open models deployed on your servers and governed end to end — from private cloud to air-gapped — without a single piece of data leaving your perimeter.
When it wins
Where sovereign deployment is the answer
Three situations where data must not leave your walls.
Regulated sectors
Banking, insurance, health, public sector: when the regulator mandates data residency or rules out public cloud, sovereign deployment is the compliance path.
Critical data
Trade secrets, defence data, patient records: some information must never pass through a third-party API, whatever the level of encryption.
Strategic independence
You choose your models, your hardware and your update schedule — without depending on a single vendor's roadmap or terms.
Models
Supported open models
Model choice is never a matter of fashion: it is measured on your data, your hardware and your licence constraints.
Quality on your use cases
Every model is evaluated on your real documents and tasks — not on generic benchmarks — before we settle on a choice.
Hardware footprint
Model size, quantization and expected throughput drive GPU sizing: we calibrate the model-hardware pairing precisely.
Licence & longevity
Commercial usage terms, release cadence, tooling ecosystem: the chosen model must remain a safe bet three years out.
FAQ
Frequently asked
Is sovereign AI less capable than the cloud?
On focused enterprise use cases, recent open models rival cloud APIs: most of the quality comes from RAG over your corpora, model choice and calibration. We measure the gap on your real tasks in a workshop, before any commitment.
How much does a sovereign AI deployment cost?
It requires an upfront investment — GPUs, integration, commissioning — then a predictable running cost. At sustained usage, the cost per request often drops below cloud APIs billed per token. Every project starts with a three-year costed study.
Who maintains and updates the models?
Hunter BI operates the system or transfers the skill to your teams, your choice: monitoring, version upgrades evaluated on private test benches before production, and full operations documentation. You keep control of the schedule.
Does sovereign AI mean fully disconnected?
No. Air-gapping — total isolation — is only the strictest level, reserved for the most sensitive data. A dedicated private cloud or an on-premise deployment keeps controlled connectivity: managed updates, governed remote access, full logging.
Keep your AI inside your walls?
Private cloud, on-premise or air-gapped: let's scope a sovereign deployment on your data.