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AI that stays on your network.

Applied AI features and private model infrastructure for teams that cannot send data to a public API. We design it, host it, and wire it into the systems you already run.

What's included

Self-hosted LLMs

Private model infrastructure on your network or VPC, sized to the workload rather than a demo box.

AI features

Search, drafting, classification, and assistants built into the products your team already uses.

RAG pipelines

Retrieval over your documents and systems, with sources your team can check, not a black box.

Data privacy

Architecture that keeps prompts, documents, and outputs inside your boundary by default.

Where this usually starts

A useful ChatGPT habit that cannot go near real customer data, or a product feature that needs a model without leaking the corpus. We start with the constraint, then pick the stack.

After go-live

Models, embeddings, and prompts drift. We stay on for evaluation, cost control, and the next set of features once the first one is trusted.

Need AI that never leaves the building?

Tell us the data you cannot put in a public model and we'll scope a private setup.

Book a discovery call