Cloud AI
Powerful, but your data has to leave the building.
Not allowed for sensitive data
Now selecting design partners
Anyone can run a model locally. We make it accurate on your documents and prove it on your own cases, on your own server.
Designed for on-premises Designed for GDPR and the EU AI Act No data to third parties
Pump P-200 is losing pressure again. What fixed it last time?
In both earlier cases, replacing the worn shaft seal restored full pressure. Check the seal first, then the inlet filter.
Ask about your documents…
Concept preview
The problem
66 % of German companies using AI say data protection holds them back. (Bitkom, 2026)
Why us
RAG tools can search your files. Small models still misread jargon and pick the wrong passage. We close that gap.
Finding information
Matches similar words
Searches by meaning, using your terms
Your terms
Misses your jargon
Adapted to your documents
Proof
Quality unknown
Tested on your own cases
Effort
Needs ML know-how in-house
Set up and maintained for you
How it works
We set up a small open model on your own hardware or private cloud. Nothing is sent outside.
We adapt it to one workflow using knowledge from your team, so it speaks your language.
Your team asks questions in plain language. Each answer is designed to link to the document it came from.
Data flow
The system is designed so that everything happens inside your network. Nothing is sent to an external AI service.
For your IT
Designed for scanned PDFs, tables, spreadsheets and email threads, not just clean text.
Designed so people only get answers from documents they are allowed to see.
Designed for file servers, SharePoint and document management systems, staying current as documents change.
On your own server, or on a dedicated instance in a German data centre if you prefer not to run hardware.
Use cases
Service & maintenance
“Has this fault happened before, and how was it fixed?”
Contracts & policies
“What notice period applies to this supplier?”
Customer requests
“Which team should handle this email?”
Design partners
We’re building it with a small group of companies (20–250 staff) whose documents can’t leave the building. You shape the product and get early-partner terms.
A 30-minute call about your workflow.
Talk to us about your workflow Early-partner terms are agreed together.Team
A founder backed by experts in knowledge graphs, security and life sciences.
Founder
LLMs for privacy-critical domains
Knowledge graph
Information extraction and ontologies
Cybersecurity & finance
Security testing and financial engineering
Biotechnology
Single-molecule biophysics and modelling
FAQ
With an on-premises setup, no: the model, your documents and all questions stay on your own server. If you choose a dedicated instance in a German data centre instead, data is processed there under a data processing agreement.
Anyone can install a model or a RAG tool. Backed by our research, we adapt search and model to your terms, test it on your own cases before go-live, and keep it current.
Not yet. We are building the first version together with a small group of design partners, so their workflows shape what we build first.