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Arabic that actually works, not Arabic as an afterthought.
Most AI systems are built in English and translated afterwards. In the Gulf that shows immediately: dialect misread as error, mixed-language documents mishandled, right-to-left interfaces that break. It needs planning, not a language setting.
What usually brings people here
- Customers writing in Arabic and getting worse service than those writing in English.
- Documents mixing Arabic and English in the same page or table.
- Official and legal documents in formal Arabic that general tools misread.
- Gulf dialects in messages and calls that standard models handle poorly.
What we build
- Bilingual assistants that answer in the language the person used
- Document processing for Arabic, English and mixed documents
- Right-to-left interfaces built properly, not mirrored as an afterthought
- Dialect-aware handling for Gulf, Levantine and Egyptian Arabic
- Arabic search that handles different spellings of the same word
How we approach it
- 1
Test in Arabic first
If it's built in English and checked in Arabic afterwards, the Arabic will always be second class.
- 2
Separate the script problem from the language problem
Right-to-left layout, mixed-direction text and Arabic numerals are engineering issues, not model issues.
- 3
Have a native speaker judge it
Not a translation check. Someone who can say whether the tone is right.
What you get
- Equal quality in both languages, measured separately
- Interfaces that work right-to-left without breaking left-to-right content
- Evaluation sets in both languages so quality can be re-tested after changes
- Honest reporting where Arabic performance is behind English