AI Knowledge System
Your company knowledge, instantly available. Precise answers from your own documents, with sources, without making things up.
From problem to solution
Your knowledge is there. Nobody can find it.
Ordinary search isn't enough
Searching the file server or SharePoint returns 40 hits, the answer is on page 17.
You ask in plain language and get the concrete answer, with a reference to the source document.
Why: Keyword search finds words. Semantic search (vector search) finds meaning.
General chatbots guess
The ChatGPT or website bot sounds convincing and invents a plausible answer when in doubt.
Our system answers only from your material, with sources. What isn't backed by a document isn't claimed.
Why: The answer comes from your document, not from the model's general training data.
The question across two sources
“Which deadlines are tied to client Z's cases?” Nobody answers that quickly; it means manual digging.
A knowledge graph links people, cases and deadlines, the answer emerges along the chain.
Why: Exactly where simple tools reach their limit.
The right method for each question
The right engine for every question.
Depending on the question, a different method makes sense. A router automatically recognises which one fits, often a combination of several.
Answers with a source
The system answers only from your material and names the source for every statement.
Measurable
We deliver accuracy metrics (recall) so you can see how reliably the system answers.
EU-hosted
Sensitive data never leaves the EU. Self-hosting on your own infrastructure is possible.
Use cases by area
Where a knowledge system delivers results immediately
Law & legal practice
Files, deadlines, precedents, EU-secure and linked across multiple sources (multi-hop). The question that has to connect two files is answered in seconds, instead of someone piecing it together from several files.
- Query mandates, deadlines and filings in context
- Find precedents across the entire case load
- Data sovereignty: EU-hosted or self-hosted
Sales
“What did we quote for a job like this?” The system finds comparable past quotes in seconds.
Support
Instant answers from the manual relieve the team, around the clock.
Engineering
Datasheets, maintenance history and standards, findable even across thousands of PDFs (Visual RAG).
Service packages
From check-up to ongoing operation
AI health check
Analysis of your existing or planned AI solution: what does it find, what does it invent, where are the gaps?
Company memory
Building and running your knowledge system, on a proven stack and EU-hosted.
Document intelligence
Search in visually complex documents such as tables, plans and forms (Visual RAG / ColPali).
Integration & custom
We connect your tools and assistants in a standardised way via MCP and build custom solutions where the standard ends.
Not every case needs a large system. For a plain FAQ in a small shop, a ready-made chatbot will do. We'll tell you that, too. We build where solutions like that reach their limit.
Impact
Seconds
to a sourced answer, without long searches across drives and inboxes.
−70 %
less time spent re-finding knowledge in day-to-day work.
100 %
of answers with a source, each one verifiable.
EU
Hosting in the EU (Hetzner) or self-hosted at your premises.
Project-dependent indicative figures.
Proof in practice
We run it ourselves.
Jukeep is our own AI knowledge memory, in productive use every day. It bundles scattered knowledge, organises it automatically and answers questions with sourced answers, always only from your own material. So we use what we offer ourselves.
Ask your bot for an exact number from your price list. Does it actually come back?
Frequent questions
What companies ask us about this
- Does our data leave the building?
- No. The knowledge system runs EU-hosted (Hetzner) or self-hosted on your own infrastructure. Your documents stay under your control, and no public models are trained on your data.
- How do you prevent invented answers?
- The system answers exclusively from your own documents and backs every statement with its source (Retrieval-Augmented Generation, or RAG). If it finds no evidence, it says so openly.
- Can you connect this to our existing tools?
- Yes. We connect your data sources and assistants in a standardised way via MCP (Model Context Protocol). Where standard interfaces end, we build on in a custom way.
- Does it work with scans, tables and plans?
- Yes. For visually complex documents we use Visual RAG (e.g. ColPali), which reads layout, tables and image content too, not just plain text.
- How do we measure whether it works?
- With concrete metrics: recall and answer accuracy on a test set of your real questions. You see exactly which questions the system answers correctly and which it doesn't.
Ready to put your knowledge to work?
Let's build your company memory.
Get in touch, no strings attached. We'll look at where a knowledge system gives you the biggest lever, and recommend the right size.
Discuss your project