Arabic Conversational AI
Most assistants are built and evaluated in English, then translated. The result reads correctly and answers wrongly. We build and score in Arabic first, on transcripts of how your customers really write and speak — including the code-switching everyone does and no test set contains.
A customer writes in Hijazi dialect with three English words in the middle. The assistant answers a question they did not ask, politely, in formal Arabic.
A pilot on one intent family in six weeks, measured on containment and correctness before widening scope.
Arabic Conversational AI
Customer assistants
Web, app and WhatsApp assistants grounded in your product catalogue, policies and account data, with a clean escalation to a human that carries the conversation across.
Voice agents
Speech recognition and synthesis tuned for Gulf dialects, with barge-in, number and date handling in Arabic, and latency budgets that keep a call feeling live.
Internal knowledge assistants
Answering staff questions from HR policy, procedures and technical manuals — respecting the permissions of the person asking.
Dialect evaluation sets
A scored corpus drawn from your own channels, so improvements are measured against how your customers speak rather than a public benchmark.
What remains with you after we leave
Every item below is yours, in your repository and your cloud account, with no runtime licence and no lock to us.
- Dialect-aware evaluation corpus built from your channels
- Assistant with grounded answers and citation to policy
- Escalation path with full conversation handover
- Containment, deflection and satisfaction dashboards
- Content guidelines so your team can extend the knowledge base
Questions we hear a lot
Modern Standard Arabic plus Gulf dialects, with Najdi and Hijazi handled most confidently. We measure per dialect rather than reporting one blended score.
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Tell us what you are trying to build.
Send a short note and one of our engineers — not a salesperson — will reply within one business day.