Arabic AI: Building Automation That Works in Arabic
An English-only agent in a market where half your customers prefer Arabic is a system that quietly fails. Getting Arabic right is a design decision, not a translation step.
Arabic is not an afterthought
Modern Standard Arabic, Gulf dialect, code-switching between Arabic and English mid-sentence, and right-to-left layout all change how a system has to be built. Bolting a translation layer onto an English-first product produces stilted, sometimes wrong output that customers notice immediately.
We build bilingual from the first line: the agent detects the language the customer uses and responds natively, grounded in the same source of truth in both languages.
Where it matters most
Customer-facing surfaces — support, sales, government services, and onboarding — are where Arabic is non-negotiable. A resident or a buyer should never feel like a second-class user of your system because they wrote in Arabic.
Getting it right technically
Strong Arabic performance comes from the right model choice, retrieval over Arabic source content, evals run specifically on Arabic inputs, and RTL-correct interfaces. We test Arabic quality as a first-class metric, not a spot-check at the end.
Questions this raises.
Can modern AI handle Gulf Arabic dialect?
Yes, with the right model and retrieval setup, and with evals run on real Gulf-dialect inputs. Quality varies a lot by how the system is built, which is why we treat Arabic as a first-class test, not an afterthought.
Do you handle right-to-left interfaces?
Yes. Customer-facing surfaces are built RTL-correct in Arabic and LTR in English from the start.
Is bilingual much more expensive?
Modestly more than English-only, and worth it — an English-only system leaks a large share of the GCC customer base.
Want this built
for your UAE team?
Tell us what you’re trying to do. We’ll send back an honest read — and a rough AED shape — within 24 hours.