Multilingual voice AI

The languages most platforms get wrong

Plenty of voice platforms claim dozens of languages and handle perhaps three of them well. If your customers speak Arabic or Urdu, switch between languages mid-sentence, or have an accent the vendor never tested, that gap shows up on the first real call.

Typically 2–4 weeks from first call to a working agent.

Right-to-left done properly

Arabic and Urdu handled correctly end to end — what the caller said, what the model understood, and what lands in your helpdesk all agree.

Callers who switch mid-sentence

An Urdu sentence with English words in it is normal speech, not an edge case. The agent follows the caller instead of forcing one language per call.

Voices that sound local

A technically correct agent with the wrong accent still sounds foreign. We choose the voice with you and let you hear it before it goes anywhere near a customer.

Found on real calls, not in a demo

Everything below came from listening to production calls in Urdu and English. None of it appeared in testing, and all of it would have reached customers.

  • Transcripts silently arriving in the wrong script on short replies
  • Local place names mis-heard until the recogniser was biased toward them
  • An agent answering in the wrong language because its own instructions were written in another
  • Replies truncated mid-word — Urdu script costs several times more tokens per word than English
  • Knowledge base articles that contradicted each other across two languages
  • A voice that was technically fluent and unmistakably foreign to a local ear

Why this is rare

Built and tested where these languages are spoken

Most voice platforms are built in English-speaking markets and add other languages afterwards, evaluated on clean recordings rather than real, noisy, accented calls.

We build from Pakistan and test on real customer conversations in Urdu and English, which is how the problems above were found at all. They are the kind of fault that only a native ear catches.

Markets where this matters most

Gulf & Middle East

Arabic-first service with English-speaking expatriate customers

South Asia

Urdu, Hindi and English mixed freely in the same call

Diaspora businesses

Serving communities in their first language from abroad

Travel & hospitality

Guests calling in languages your team does not staff

Healthcare

Patients explaining symptoms in their own language

Logistics

Drivers and recipients across multilingual regions

Financial services

Regulated conversations where being misunderstood is costly

Telecom & ISPs

Mass-market support across several local languages

Working in a different sector? Tell us what you need.

Multilingual voice AI FAQs

Which languages do your AI voice agents support?

We build agents in English, Arabic, Urdu, Hindi and most major European languages. The harder question is usually not which language but which variety — Gulf Arabic is not Levantine Arabic, and an agent tuned for one can sound wrong in the other.

What is code-switching and why does it break voice agents?

Code-switching is mixing two languages in one sentence, such as an Urdu sentence with English technical words in it. It is completely normal in South Asia, the Gulf and diaspora communities, and it defeats systems that pick one language per call and commit to it.

Do right-to-left scripts cause problems?

They cause problems for systems that were not designed for them. Arabic and Urdu need correct script handling all the way through — recognition, the model, and the text that ends up in your helpdesk. We have found and fixed real production bugs where a transcript arrived in the wrong script entirely.

Will the agent sound like a local speaker?

That depends on the voice, and it matters more than most buyers expect. A technically correct agent with the wrong accent still sounds foreign to the customer, so we select the voice with you rather than shipping a default and hoping nobody minds.

Can one agent handle several languages on the same number?

Yes. The agent can detect what the caller is speaking and continue in it, rather than making people choose from a menu first. For mixed markets that is usually the right design — most callers will not press 2 for their own language.

Why do other vendors struggle with these languages?

Most are built and tested in English first, with other languages added later and evaluated on clean, single-language recordings. Real calls are noisy, accented and mixed. The gap only shows up once real customers are on the line, which is why we test on real calls before going live.

Which languages do your customers actually call in?

Not the ones on your website — the ones people use when they ring. Tell us that, and we will tell you honestly how well it can be handled today and where the rough edges would be.