AI Add-On for E-Kiosks
Your archive has the answers.
Now it can tell you.
PressPad AI kBase turns your e-kiosk into a living knowledge base — trained on your own content, answerable in plain language, and fully embedded in your publishing ecosystem.
what is kbase-ai
A layer of intelligence for your content
It turns your archive of PDF files into the knowledge base. Built for humans interaction with collective knowledge of your archive.
kBase is an AI add-on to your PDF archive
It connects directly to your PressPad e-kiosk. It indexes every issue, article, and PDF you’ve published — and makes all of that content searchable through natural conversation.
Ask it anything you want
It responds like a knowledgeable colleague: in plain language, with summaries, and with direct links back to the specific editions in your kiosk.
Think of it as NotebookLM
… but trained exclusively on your content, branded with your identity, and living inside your publishing ecosystem. Your data never leaves your platform.
Services
How it Works
Three steps from archive to answer
Index
kBase connects to your e-kiosk. We index all published issues and PDF documents — including the back catalogue.
Ask
Readers or members type a question in natural language — just like asking a person. No search syntax, no filters, no keywords needed.
Discover
kBase responds with a clear, human-readable summary and includes direct links to the relevant editions in your e-kiosk.
Make the professional expertise of your entire archive available to your members.
Ask anything and get related answers in a blink of an eye with links to exact editions and pages that cover your search topic. Ask to elaborate more on the answer to get a wider summary.
Token-optimised architecture
Hybrid search
AI only where it matters. Most AI tools send your entire content library to the language model on every single query. kBase doesn’t. It uses a hybrid retrieval architecture that keeps AI costs low without sacrificing answer quality.
Reader query
Natural language
Semantic retrieval
Only relevant chunks selected
LLM answers
Minimum tokens, maximum precision
Features
Everything your archive needed
kBase adds a layer of intelligence on top of your existing e-kiosk content — without rebuilding anything.
Natural language queries
Readers ask questions as they would a colleague. No search operators. No guesswork.
AI-generated summaries
kBase synthesises answers from across multiple issues, giving concise, accurate responses on demand.
Deep links to editions
Every answer cites sources and links directly to the relevant issue inside your e-kiosk — keeping users in your ecosystem.
Your data, your platform
Content stays within your PressPad environment. No data shared with third-party AI training pipelines.
Branded experience
kBase carries your brand identity. The AI interface can be white-labelled to match your publication’s look and feel.
Always up to date
As new issues are published to your e-kiosk, kBase automatically re-indexes the content. No manual updates needed.
under the hood
How the hybrid approach works
When a reader asks a question, kBase first runs a fast semantic search across your indexed archive — identifying only the passages most likely to contain the answer. That small, precise selection is what gets passed to the language model. The AI never sees your full archive on each query — just the relevant slice of it. This keeps token consumption low, responses fast, and running costs predictable — regardless of how large your archive grows.
Predictable costs
Token usage stays lean by design. Pricing does not spiral as your archive grows or query volume increases.
Fast responses
Retrieval narrows the context before the LLM generates an answer. Queries resolve in seconds, not minutes.
Higher accuracy
Focused context means fewer hallucinations. The model answers only from what is directly relevant to the question.
Scales with your archive
Whether you have 50 issues or 500, the architecture handles growth without degrading performance or inflating cost.
who it is for
Built for organisations with deep content archives
If your publication has accumulated issues, research, guides, reports or other PDF documents over the years, that content is an asset waiting to be activated.
Trade & specialist publishers
Industry titles with years of regulatory, technical, or market coverage that readers need to find quickly.
Membership organisations
Turn your member publications and newsletters into a searchable benefit — increasing the perceived value of membership.
Business & finance media
Make historical market analysis, opinion, and data instantly accessible to premium subscribers.
Professional Expertise That Drives Success
Why kBase vs generic AI tools
Your ecosystem. Your content. Your control.
Tools like NotebookLM are impressive — but they’re generic, disconnected from your publishing infrastructure, and hold your data on someone else’s platform.
kBase is different
It is built specifically for member organisations and publishers already on PressPad’s e-kiosk. Content is indexed from your existing digital archive.
Answers link back to your store
Revenue and engagement stay in your ecosystem.
Full ownership
You retain ownership of the knowledge — and the relationship with your readers and members.
Start Your Journey Today
Let’s Talk
Ready to transform your digital publishing strategy? Get in touch with our team and discover how PressPad can accelerate your growth.
Our Company
PressPad Sp. z o.o. (LTD Company), Slusarska 3/7, 30-701 Krakow, Poland
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