Complete isolation
Your data stays on your infrastructure. No cloud connection, no external transit. The primary attack vector is eliminated.
Our solutions are designed for regulated environments: healthcare, insurance, defense, government. AI operates within an auditable perimeter, with complete isolation. Also suited for SMEs that refuse to entrust their data to third parties.
Complete isolation
Your data stays on your infrastructure. No cloud connection, no external transit. The primary attack vector is eliminated.
Auditable code, transparent models
No black box. Source code is accessible, models are documented. You know exactly what runs on your machines.
Full traceability
Every data flow and every algorithmic decision is logged. Ready for AI Act, GDPR and sector-specific audits.
Controlled costs, lasting asset
No SaaS subscription, no per-token billing. The infrastructure belongs to you and depreciates over time.
RAG-optimized data
Effective RAG requires clean data. Our workflow cleans, chunks and semantically enriches your documents to maximize response accuracy.
From infrastructure to chatbot
Hardware, configuration, data processing, deployment. A single chain of responsibility, consistency guaranteed at every step.
Cloud-based AI services process your data on third-party servers. Every query, every document, every piece of proprietary information transits through external infrastructure. For organizations handling sensitive data — patient records, legal documents, classified information, trade secrets — this model creates unacceptable risk.
On-premise AI eliminates this exposure entirely. Your language models run on hardware you own, within a network you control. Data never leaves your perimeter. There is no API call to external servers, no logging by third parties, no regulatory grey zone.
Beyond security, on-premise deployment offers predictable economics. No per-token billing that scales with usage. No subscription fees that compound over time. The infrastructure becomes a capital asset, fully amortizable, with unlimited queries at zero marginal cost.
Retrieval-Augmented Generation turns your document repository into an expert assistant. Contextualized answers, cited sources, 100% offline operation.
Turnkey deployment
Hardware selection, NVIDIA driver installation, business interface configuration. Operational without tying up your IT teams.
Knowledge transfer
We train your teams on administration and maintenance. Goal: full autonomy over the long term.
What is on-premise AI?
On-premise AI refers to artificial intelligence systems deployed on your own servers, within your infrastructure. Unlike cloud-based AI services, no data leaves your network. You retain full control over your models, your data, and your processing power.
What is RAG (Retrieval-Augmented Generation)?
RAG combines a large language model with a document retrieval system. When you ask a question, the system searches your internal documents, retrieves relevant passages, and uses them to generate an accurate, contextualized answer with cited sources.
Is on-premise AI compliant with GDPR and the EU AI Act?
Yes. On-premise deployment ensures data never leaves your infrastructure, which simplifies GDPR compliance. For the AI Act, our solutions provide full traceability of data flows and algorithmic decisions, meeting transparency and auditability requirements.
What hardware is required for on-premise AI?
Requirements depend on your use case. Typically, a dedicated server with NVIDIA GPU (RTX 4090, A100, or H100) is needed for running large language models locally. We handle hardware selection, procurement, and configuration as part of our service.
Can on-premise AI work without internet connection?
Yes. Our air-gap deployments operate in complete isolation with no external network connection. This is ideal for defense, healthcare, and other sectors where data security is critical.
“We don’t secure access to your data — we eliminate its exposure. No data ever leaves your perimeter.”
— Franck Bertuzzi, Founder of OBAUS