Replace your FAQ page with a chatbot that actually answers questions.
A RAG assistant trained on your own documentation. Answers product questions, handles FAQs, books appointments, and escalates to a human only when it genuinely needs to.
Six things the chatbot handles so you don't have to.
Trained on your docs
Product catalogue, FAQs, policies, and manuals, all indexed into a retrieval system that grounds every answer in your own content.
Four languages
NL · FR · EN · DE with automatic language detection per message. No user-side switching required.
Appointment booking
Direct integration with your calendar or CRM booking flow. Visitors book without leaving the chat window.
Live handoff
When a conversation needs a human, the assistant escalates with the full chat context already attached.
Grounded answers
RAG architecture means the model cannot invent facts. If the answer is not in your docs, it says so.
Full conversation logs
Every exchange stored and searchable. Weekly quality reviews flag queries the system answered poorly.
From your documents to a live chatbot in 14 days.
Ingest
We index your documentation, PDFs, and web pages into a vector store. You keep the source files.
Build & tune
Retrieval pipeline calibrated against your real customer questions. Accuracy validated before launch.
Deploy
Embedded in your website with a single script tag. No rebuild or redeploy of your site required.
Monitor
Weekly quality reviews in month one. Flagged queries retrained. Runbook in your repo.
Three chatbots. Three industries. Zero hallucinations.
Every chatbot below is grounded in the client's own documentation and has been live in production.
DRUGSTORE GRAND CAFÉ
Multilingual RAG chatbot answering menu, allergen, and reservation questions across four languages. Every answer grounded in the café's own documentation, no hallucinations by design.
LUX LEGAL
RAG assistant trained on 600+ internal procedure documents and EU regulatory texts. Associates retrieve answers in seconds instead of digging through shared drives.
ROOFTECH NL
Chatbot handles inbound quote requests 24/7, qualifies the job scope, and pushes a pre-filled lead card into the CRM, no human involvement until site visit.
Questions we get on every call.
How long does setup take?
Seven days from signed contract to a running prototype on your data. Production deploy by day 14.
Does it hallucinate?
No. Every answer is grounded in your indexed documentation. If the answer is not in your docs, the chatbot says so and offers to connect the visitor to a human.
What languages does it support?
NL, FR, EN, and DE out of the box. Language detection is automatic, the assistant switches based on each incoming message, not a user preference setting.
Can it book appointments?
Yes. We integrate with your existing calendar (Calendly, Google Calendar, or your CRM booking flow) during the setup phase.
Replace your FAQ page
this month.
30-minute call. We'll index a sample of your docs and show you a live prototype, free, no deck.