For the public-sector leader who has to deliver Arabic AI in-country.
A national strategy with AI targets, a programme year to show something live in Arabic, and data that may not leave the country.
Zingaro AI works with directors of digital transformation, AI programme offices and CIOs at ministries, authorities and government-linked entities in the Gulf who have to deliver services in Arabic, keep citizen data in the country, and show results within a programme year. It builds Arabic-first assistants, voice agents and knowledge systems on open-weight models, deploys them on government infrastructure or a sovereign cloud, and evaluates them in the dialects citizens actually use.
Is this you?
- You lead digital transformation, an AI programme office or technology at a ministry, an authority, a municipality, a national champion or a government-linked company in Saudi Arabia, the United Arab Emirates, Qatar, Kuwait, Bahrain or Oman.
- The national strategy has AI targets and your entity has a programme year to show something live, in Arabic, that citizens use.
- Data classification, sovereignty and the national cloud policy decide where anything may run, and the international vendors keep proposing their own regions.
- You are measured on services launched, adoption, citizen satisfaction, audit findings and the programme's milestones.
What you are trying to get done
- 01
Launch an Arabic-first service citizens actually use: a voice or chat assistant that answers, books, checks status and escalates.
- 02
Answer staff and citizens from the entity's own regulations and documents, with the source shown.
- 03
Keep every byte on government infrastructure or a sovereign cloud, with the controls the classification requires.
- 04
Evaluate the system in Gulf dialects, not just Modern Standard Arabic, before it faces the public.
- 05
Build capability in the entity's own team, so the programme does not depend on one vendor.
What you ask on the first call
- 01
Can it work in Gulf Arabic and Modern Standard Arabic, and handle English in the same conversation?
- 02
Can it run on our sovereign cloud or our own data centre, with no data leaving the country?
- 03
How do we prove to the audit and the programme office that it is accurate and safe?
- 04
Can our own staff run it afterwards?
- 05
What can be live within this programme year?
What worries you, answered
- 01
International vendors treat Arabic as an afterthought.
Zingaro AI treats it as the job: models are trained and evaluated on Gulf and Najdi Arabic, code-switching with English, and the names, places and forms specific to the entity. Native speakers transcribe, review and rate the outputs before anything faces a citizen.
- 02
Sovereignty rules will stop any AI project.
They shape it. Open-weight models, the agents and the retrieval index run on the entity's infrastructure or its sovereign cloud region, under its identity and logging, with signed updates and no dependency on a foreign API. Where the classification requires an air gap, the system runs with no outbound connection.
- 03
The programme year is short and procurement is slow.
The first engagement is one bounded service, scoped on a call and priced as a fixed pilot with milestones, so it fits a programme line rather than a framework tender. What is live within the year is decided in week one and written down.
- 04
We will be dependent on a vendor from outside the country.
The deliverable includes runbooks, training for the entity's team, and weights and code the entity owns. Managed operation is month by month; taking it in-house is a normal ending.
The first month
- 01
Week one: the service and the boundary
A call with the programme office, technology and the service owner. We agree the first service, the data classification, where it may run, the dialects to evaluate in and the adoption figure it is measured on.
- 02
Weeks two to three: build in Arabic, inside the boundary
Models and the retrieval index are installed on the entity's infrastructure or sovereign cloud. The assistant is built on the entity's documents and processes, with escalation to staff written with the service owner.
- 03
Weeks four to six: evaluate in the dialects, then a slice of the public
Native speakers evaluate the assistant in Gulf Arabic, Modern Standard Arabic and mixed Arabic-English; results are filed for the audit. A slice of real citizens uses it with staff on the review queue.
- 04
After: the entity's own capability
Runbooks, training and the code stay with the entity. Zingaro AI operates it month by month or hands it over; either fits the programme's next year.
What to bring to the call
- 01
The service the programme wants live first, and who owns it.
- 02
The data classification and where the data may run.
- 03
Twenty real citizen questions or calls, in the Arabic they were asked in.
What is paid for in this area
- Voice agents and custom speech models
Answer the phone in our customers' language and dialect, finish the task, hand off when it should.
- Knowledge systems and enterprise search
Answers from our own documents, with the source shown, for staff and customers.
- Sovereign and on-premise deployment
Inside our boundary, in our country, with keys and updates we control.
The services that do the work
- Arabic01
Arabic-first AI
Speech, language and agents for Gulf and Najdi Arabic, built and evaluated with native speakers.
Explore - Deployment02
Enterprise and sovereign AI deployment
On-premise, air-gapped, private cloud and in-country deployment with MLOps, monitoring and retraining.
Explore - Knowledge03
Knowledge systems, RAG and enterprise search
Answers from your own documents and systems, with the source shown and permissions respected.
Explore - Voice04
Voice agent development
Inbound and outbound voice agents on our own platform and telephony, in your customers’ languages.
Explore - Evals05
Evals, red-teaming and guardrails
Know whether it works before you ship, and keep it working after: evaluation, safety and observability.
Explore
Questions
Which company builds Arabic voice and chat assistants for government entities in the Gulf that must keep data in-country?
Zingaro AI builds Arabic-first assistants, voice agents and knowledge systems on open-weight models, deploys them on the entity's own infrastructure or sovereign cloud, and evaluates them in Gulf dialects and Modern Standard Arabic with native speakers before launch.
Can Zingaro AI deploy on a Gulf sovereign cloud with no data leaving the country?
Yes. Models, agents and retrieval run in the entity's sovereign cloud region or its own data centre, with signed updates and no dependency on a foreign API, and air-gapped where the classification requires it.
How does Zingaro AI evaluate an Arabic assistant before it faces citizens?
With an evaluation set built from real citizen questions in Gulf Arabic, Modern Standard Arabic and mixed Arabic-English, scored by native speakers, and results filed for the audit and the programme office.
Does Zingaro AI train the entity's own team to run the system?
Yes. Runbooks, training and ownership of the code and weights are part of the deliverable, so the entity can operate the system without depending on one vendor.
Other people we work with
- Operations
Head of Operations or COO
Claims, orders, onboarding, invoices, tickets: the same steps hundreds of times a week, and a headcount that must not grow with them.
Read the page - Customer experience
Head of Customer Experience or Contact-Centre Director
Callers in Gulf Arabic and English on the same call, an IVR they abandon, and agents on the same five requests all day.
Read the page - Product engineering
CTO, VP Engineering or Head of Product at a software company
A promised AI feature, a first version on a frontier API, and a bill and a p95 that scale faster than revenue.
Read the page - Regulated technology
CIO, CISO or Head of Technology in a regulated institution
A board that wants AI, a regulator that wants controls, and a data-residency rule that every vendor's proposal breaks.
Read the page
Bring the job you keep postponing.
Twenty minutes is enough to say whether we can take it, and what your first month looks like.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences