Answers with sources
Every answer links to the underlying documents — verifiable, not invented.
AI Knowledge Base
Your company knowledge — on tap.
Knowledge lives in SharePoint, Confluence, emails, PDFs and the heads of experienced colleagues. With retrieval-augmented generation (RAG) we build an internal AI assistant that answers questions from exactly those sources — with citations, respecting access rights, and without your data being used to train public models.
What we deliver
Permissions preserved
People only get answers from documents they already have access to.
Many sources, one entry point
SharePoint, OneDrive, Confluence, Google Drive, Notion, ticketing systems, databases.
Always up to date
Automatic syncing so new and changed documents are included immediately.
In Teams, Slack or web
The assistant lives where your team already works.
Private models available
Run on EU-hosted or self-hosted open-source models.
Typical use cases
Internal helpdesk
Answer IT, HR and policy questions instantly and cut ticket volume.
Sales & proposals
Find product details, references and past proposals in seconds.
Technical support
Search manuals, maintenance logs and solutions from past cases.
Onboarding
New starters find answers on their own — around the clock.
How we work
- 01
Discover
Understand your processes, data and goals — and find the use case with the fastest ROI.
Week 1 - 02
Prototype
A working proof of value on your real data, measured against clear metrics.
Weeks 2–4 - 03
Deploy
Securely integrated into your systems — with monitoring, guardrails and human-in-the-loop.
Weeks 5–8 - 04
Evolve
Continuous evaluation, improvement and new automations.
Ongoing
FAQ
What is RAG?
Retrieval-augmented generation: the system first finds the relevant passages in your documents, then has a language model write an answer based only on them — with citations.
Will our data be used to train AI models?
No. We use enterprise endpoints that don't train on customer data, or self-hosted models. Your data stays under your control.
How do you prevent wrong answers?
Answers are grounded only in retrieved sources, citations are shown, the system is evaluated with your team's real questions, and it says clearly when no answer was found.
Can access rights be respected?
Yes. Existing permissions from systems like SharePoint are carried over.
Let's talk about your project.
Tell us briefly where you stand. Within one business day you'll get an honest assessment and concrete next steps.