Urdu voice AI agents for calls and voice notes

ZEMTECH builds Urdu voice AI that also understands English: systems that transcribe calls and voice notes, pick out complaints, requests and sentiment, and trigger the next step, such as a WhatsApp alert or a CRM update. Our own product, DineFeedback, already turns restaurant guests' Urdu and English voice notes into structured feedback that owners read in seconds.

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

Built for how people in Pakistan speak

Customers here switch between Urdu and English in the same sentence, send voice notes instead of typing, and call rather than fill in forms. Voice AI that only handles clean English misses most of that. We build pipelines that transcribe mixed Urdu and English, understand the intent behind it and turn it into data your team can act on.

What voice AI can do for you

  • Voice notes to action: WhatsApp voice notes transcribed, summarised and routed to the right person.
  • Call analysis: calls transcribed and tagged by topic, sentiment and follow-up needed.
  • Feedback in the customer's own words, analysed by theme, as DineFeedback does for restaurants.
  • Voice agents that answer routine questions and hand the caller to a person when needed.

Connected to the rest of your systems

A transcript is only useful when something happens next. We connect voice AI to automations that send alerts and update records, and to dashboards that show trends across every call and voice note.

Every project starts with a test on your own recordings: we measure how well the system understands your callers and customers, agree which errors matter, and design a review step for anything it is unsure about. When privacy requires it, recordings and transcripts stay on your servers, with local models doing the analysis.

Voice AI questions

How accurate is Urdu speech recognition?

Accuracy depends on audio quality, accents and background noise, so we test on a sample of your real recordings before quoting, and design the workflow so a person reviews anything the system is unsure about.

Can it understand Roman Urdu and code-switching?

Yes. Speech that mixes Urdu and English is normal for your customers, and our pipelines handle it. Text output can be in Urdu script, Roman Urdu or English.

What does a voice AI project cost?

It depends on the volume of audio, the languages, the channels it connects to and what should happen after each call or note. We start with a test on your recordings, then 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

Often built together

AI Agents & Automation

AI agents and automations that take repetitive work off your team: inquiries, data entry, documents and follow-ups.

Private AI Knowledge Base (RAG)

Ask your own documents questions in plain language, with answers that cite the source and data that stays private.

Local LLM Deployment & Tuning

Run capable language models on your own hardware or private cloud, tuned to your tasks and kept off public APIs.

Hear what your customers are saying

Tell us where your calls and voice notes arrive. We reply with a test plan and a quote.

Get a quote