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Private LLMs
What a private LLM actually is, why companies are switching, and how we deploy one inside your perimeter.
Every prompt your team sends to a public AI service leaves your company. Client data, contracts, financials, strategy — routed through someone else's infrastructure, under someone else's terms, in someone else's jurisdiction.
A private LLM reverses that. The model — Mistral, Llama, DeepSeek, selected and tuned for your domain — runs on hardware you control: a server in your office, your datacenter, or a private cloud under your contract. Nothing leaves. Compliance stops being a negotiation and becomes a property of the architecture.
And the economics have flipped: open-weight models now match commercial APIs for most enterprise tasks, while hardware costs keep falling. A flat, predictable monthly cost replaces a per-seat subscription that grows with your team.
A complete, working system — not a proof of concept. We select the model, size the hardware, build the RAG layer over your internal knowledge (documents, CRM, archives, email), deploy it inside your perimeter, train your team, and stay for support.
For standard deployments we work solo with full accountability. For architectures involving cybersecurity hardening, multi-site sync or critical infrastructure, we bring in specialised partner firms from the Israeli and French ecosystems — under one contract, one point of contact.
YOUR PERIMETER
We map your data, your use-cases, your constraints.
Model choice, hardware sizing, security envelope, fixed quote.
Installation, RAG over your knowledge, integration, tests.
Team training, monitoring, updates, ongoing support.