AI that never leaves your data center.
Language models run on-premise — on your hardware, with your data. Local open-weight models, optionally extended with commercial frontier models over secure interfaces when it makes sense. No data leaving, full control.
Data stays in house.
AI should never be the reason you give up data sovereignty. Models run where your data already lives — on your infrastructure, under your control.
Local inference
Models run on your own hardware. Prompts and documents never leave your network.
Data sovereignty
No sharing with third parties, no training on your data. GDPR-friendly by design.
Hybrid when it helps
Sensitive work stays local; for the rest, frontier models can be added over secure APIs.
Open weights
Open-weight models instead of a black box — swappable, inspectable, no vendor lock-in.
More than a model.
A usable AI platform needs more than inference — gateway, knowledge, access and operations all belong to it. We deliver the whole stack.
Local inference
Efficient serving of open-weight models on GPU — from compact to large.
Model gateway
One entry point for many models: routing, quotas, keys and a cost overview, centralised.
Embeddings & vector search
Your content made searchable — semantic, fast and fully local.
RAG & knowledge
Answers grounded in your documents — with source references instead of made-up claims.
Chat interface
A self-hosted interface for your team — familiar to use, entirely in your hands.
SSO & access control
Sign-in via your identity system, with roles and rights per team and use case.
Observability & cost
Utilisation, latency and consumption in view — capacity plannable, costs transparent.
Workflow automation
Models as building blocks in automated processes — wired into your existing systems.
From hardware to operations.
We build the platform as versioned code and run it day-to-day — or hand it over cleanly to your team.
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Needs & sizing
Use cases, privacy requirements and the right hardware and model size to match.
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Platform deployment
The whole stack as Infrastructure as Code — built reproducibly, not clicked together.
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Model selection & tuning
The right models chosen and tuned to your tasks — quality weighed against resources.
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Knowledge integration
Your documents and data sources indexed and made usable through retrieval.
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Access & SSO
Integration with your identity system, a role model and secured endpoints.
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Operations & monitoring
Updates, scaling, backups and observability — or training for self-operation.
Models and data stay on your hardware, in your data center.
Swappable models without lock-in instead of an opaque black box.
Frontier models only where needed — deliberately, not by default.
Consumption and cost transparent — no surprises at the end of the month.
Your AI. Your data. Your infrastructure.
Tell us briefly about your use case — we'll propose hardware, models and a platform build.