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.
Multilingual voice AI
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.
Arabic and Urdu handled correctly end to end — what the caller said, what the model understood, and what lands in your helpdesk all agree.
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.
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.
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.
Why this is rare
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.
Arabic-first service with English-speaking expatriate customers
Urdu, Hindi and English mixed freely in the same call
Serving communities in their first language from abroad
Guests calling in languages your team does not staff
Patients explaining symptoms in their own language
Drivers and recipients across multilingual regions
Regulated conversations where being misunderstood is costly
Mass-market support across several local languages
Working in a different sector? Tell us what you need.
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.
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.
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.
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.
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.
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.
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.