RohaTech

AutoVistaVoice AI Car Shopping Assistant

Find the right car by voice.

AutoVista is a car shopping assistant you talk to, inside a mobile app. Describe the budget, body style and mileage you want, and it narrows the listings, answers questions and remembers what you asked for.

Talk to us →
Watch demo in
1:34 · English
Product
AutoVista
Sector
Automotive
Built for
Demo
1:34 · English, Arabic, Urdu

The process

How AutoVista works

No filter panels, no dropdowns. The buyer says what they are after, in English, Arabic or Urdu, and the listings follow the conversation.

Step 1 of 4

Describe

The buyer says what they want: budget, body style, mileage.

What it brings

Built to do the work,
not describe it.

  • 01

    Search by voice

    Budget, body style and mileage, said the way a buyer would say them.

  • 02

    Listings narrowed live

    The results tighten as the conversation goes on.

  • 03

    Questions answered

    About the cars on screen, without leaving the conversation.

  • 04

    Remembers the brief

    Earlier preferences carry forward, so nothing is asked twice.

  • 05

    Three languages

    English, Arabic and Urdu.

  • 06

    Mobile-first

    Built into the app buyers already browse on.

Built from

4 building blocks,
one chain.

AutoVista runs on RohaTech's core AI capabilities, connected in sequence from input to action.

  1. 01Input

    Listen

    Multilingual voice and speech across phone, web and mobile.

  2. 02Input

    Understand

    Intent, documents and enterprise knowledge.

  3. 03Judgement

    Reason

    Models, rules and business context together.

  4. 04Execution

    Communicate

    Voice, web, mobile and outbound.

Listen → Understand → Reason → Communicate

The same building blocks, other workflows

The portfolio

All 9 products, running.

Every demo, in every language it ships in.

See every demo →

The next step

Bring us the challenge.
We'll build what solves it.

We scope one workflow with your team, build it against the systems you already run, prove it on numbers you already trust, then scale what works.

Let's start the conversation →