Harnessing internal knowledge with AI

AI using your own data, without revealing any data

An LLM’s response is only as good as the data it’s based on. But for many industries, sending corporate data to a hyperscaler is simply not an option. We’ll show you how AI works locally with your data. - and -compliant.

What we talk about

What are the use cases?

Searching for information within the company, contract analysis, searching through files and archives, and onboarding support. We start with the use case, not the model.

What data should be included?

Structured sources (databases, ERP systems), unstructured sources (documents, emails, wikis). Setting up a RAG pipeline for your data.

What hardware?

Silent . Licence packages for 25, 50 or 100 named users. Scalability via appliance classes.

What you won’t hear from us

No comparison with Microsoft Copilot

A different product, a different privacy model. We’re not promoting head-to-head comparisons with cloud AI, but a different architecture.

No, it’s not a case of “you need hyperscaler capacity”

That’s not true for most internal AI use cases. We scale our infrastructure to meet actual demand.

No AI buzzwords

without a specific use case.

Pre-Sales Engineering

Do you want to understand the technical aspects of the appliance?

Architectural sketch, RAG setup, data source integration. Pre-sales meeting with René or Martin.


Request a consultation

We will get back to you within 24 hours

Tell us what knowledge you currently have that isn’t being put to use. And we’ll show you how AI can make it usable on your hardware and with your data. On weekdays. With the right contact person.

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