Voho

Voice AI that speaks Saudi. Models trained by Voho, for the phone line — evaluated on held-out data we didn't write, numbers published, before and after.

Most Arabic AI is built for Modern Standard Arabic and tested on it. Nobody in Riyadh talks that way on a call. Every model here exists because a general model failed a specific Saudi task, and each card shows by how much.

The stack

Three models, one pipeline: hear → decide → say.

Every "before" is the untrained base model on the same test set. Every test set is held out and, for the chat model, third-party. Each card has the full table, the examples, and the limitations.

The data

voho-saudi-dialogues — 13,156 multi-turn Najdi conversations, 105,808 turns. Apache 2.0.

7,603 service calls across oil and gas, utilities, telecom, banking, government, healthcare, logistics and facilities — a rig shift handover, a permit-to-work request, a SADAD dispute. Nothing like it existed in the open. Plus 5,553 everyday conversations, because a model trained only on service calls treats every sentence as a ticket.

Every dialogue passed a Najdi lexicon gate and an independent dialect classifier before it was kept.

How we build

• Own data for the job. When the open data covers daily_life and travel and the customer needs a refinery, we build the refinery data and publish it.
• Gated, not asserted. Generated text is filtered by a classifier that had no part in training. The keep rate is on the card.
• Baselined. Untrained base and reference ceiling on every card, so a number means something.
• Evaluated on what we didn't write. The chat model's test set is a published third-party corpus it never trained on.
• Small and cheap. 0.6B to 4B, one L4, a few dollars a run. Bigger was never the bottleneck; data was.

The method is documented on each model card and reusable across languages — this is how Voho trains, not a one-off.

Run one now

ollama run hf.co/VohoAI/voho-saudi-chat-4b-GGUF:Q4_K_M

Then, in Najdi: أبي أحجز موعد بكرة الصبح، فيه وقت فاضي؟

Licences

The chat model and the dataset are Apache 2.0 — use them commercially. The two speech models are CC BY-NC-SA 4.0; for production speech, use the Voho API.

voho.ai · docs.voho.ai · Saudi Arabic voice agents for enterprise