AI chatbot development in Pakistan with a private knowledge base

ZEMTECH offers AI chatbot development in Pakistan built on a private knowledge base: your team or your customers ask questions in plain language and get answers drawn from your own documents, policies and records, each with a link to its source. The approach is called retrieval-augmented generation (RAG), explained in our plain-English guide to RAG, and sensitive data stays on your servers or private cloud.

Group
AI & Automation
In production
DineFeedback
Pricing
Fixed quote after a short scoping call
Quote list

Answers from your documents, not the internet

A general chatbot answers from what it learned on the public internet, so it cannot know your prices, policies or procedures, and it may invent an answer. A knowledge-base chatbot first searches your own material, then answers from what it found and shows the source. If the answer is not in your documents, it says so.

What teams use it for

  • Customer support: accurate answers about products, orders and policies, day and night.
  • Staff knowledge: HR policies, SOPs and technical manuals searchable in plain language.
  • Sales: quick answers from product sheets, price lists and past proposals.
  • Records and reports: questions asked of your own data, as DineFeedback's owners do with their feedback.

We start with a pilot on a sample of your documents and a list of real questions your team or customers ask. We check how often the answers are right and properly sourced, fix the gaps, and only then roll the chatbot out on your website, WhatsApp or internal tools.

Private by design

Documents are indexed on your servers or in your private cloud, access follows each user's permissions, and nothing is sent to a public AI service without your consent. When data must never leave your network, we pair the knowledge base with a locally deployed language model. The same knowledge can also power AI agents that act on the answers.

Knowledge base questions

What documents can the chatbot learn from?

PDFs, Word and Excel files, web pages, help-desk articles and database records. When documents change, the index updates, so answers stay current without retraining a model.

Does it work in Urdu?

Yes. The chatbot can answer questions asked in English, Urdu or Roman Urdu, and it can search documents written in either language.

How much does an AI chatbot for business cost?

It depends on the volume and types of documents, where the system runs, the channels it answers on and how many users it serves. We scope a pilot on a sample of your documents and quote a fixed price. Ask for a quote.

See it in production

Live in production

  1. Guests scan the table's QR code, with no app to install
  2. They rate the visit and record an Urdu or English voice note
  3. The voice note is transcribed and analysed by AI
  4. Owners see every visit on a real-time dashboard
  5. Low ratings trigger an instant WhatsApp alert

DineFeedback

In-house product built and run by ZEMTECH · Multi-tenant SaaS

An AI restaurant-feedback platform built and run by ZEMTECH. Guests leave a rating and an Urdu or English voice note by QR code; owners see analysed feedback in real time.

  • SAAS
  • MOB
  • AGT
  • RAG
  • VOX
  • BI

Further reading

Put your documents to work

Tell us what your team keeps looking up. We reply with a pilot plan and a quote.