Services · Mobile app development · AI apps
We plan, design and build AI apps for companies operating across Saudi Arabia: customer apps with Arabic assistants, staff tools that read and summarise documents, and prediction features inside the products you already sell. Our approach to AI app development Saudi Arabia projects starts with national requirements, including the Personal Data Protection Law, NCA cybersecurity controls, Nafath identity and local payment rails, so the app can roll out from one city to the whole Kingdom without being rebuilt.
Saudi Arabia has made data and AI a national priority, with a dedicated authority, national models and clear rules. That creates opportunity, and it also raises the bar for how AI apps handle data, explain decisions and protect users. We help you meet that bar without slowing the product down.
200+ companies servedFrom a first store to an ADX listed developer
Platform capabilities
A pilot that works for one team in one city often breaks when it reaches the rest of the country. Dialects change between the Najd, the Hijaz, the south and the Eastern Province. Users expect to sign in with national identity, pay with mada or a wallet and receive invoices that satisfy ZATCA. Compliance teams expect the app to show how personal data is collected, used and stored under rules overseen by the Saudi Data and AI Authority, SDAIA.
So the capabilities we build for a nationwide product are as much about foundations as about clever features. Identity, consent, payments, hosting location, monitoring and language coverage are planned at the start, and the AI features sit on top. That way the same app can serve a customer in Abha and a manager in Tabuk, pass a security review from a government client and still be quick to update when a better model becomes available. The list below is ordered roughly as we plan it.
An assistant that understands Modern Standard Arabic and the main Saudi dialects, answers from your approved content and systems, and switches to English when the user does. We compare models, including Arabic-focused options such as the ALLaM family developed at SDAIA, against your own questions before choosing.
Customers anywhere in the Kingdom are understood the first time.
Where your licence and use case allow, users verify their identity through Nafath, so accounts belong to real people and sensitive AI features act only for verified users. For lighter apps, phone number verification and device checks are used instead.
Trusted accounts from the first session.
Clear consent screens explain what data the AI uses and why. Users can see, correct, export or delete their data, and every consent change is recorded. Records of processing are kept in a form your compliance team can present under the PDPL.
Privacy obligations met inside the product, not in a separate spreadsheet.
mada, Apple Pay, credit cards, SADAD bill payments and popular wallets are integrated through licensed payment providers. A risk model scores each transaction using device, behaviour and history signals, so suspicious payments are held for review without slowing normal ones.
Higher payment success with less fraud.
For apps that sell, the invoicing flow is connected to a Fatoora compliant e-invoicing solution. AI reads incoming supplier invoices, extracts VAT details and flags errors before they reach your accounts team.
Fewer invoice corrections and cleaner VAT records.
The AI answers from your product data, policies and records through a retrieval layer that respects user permissions. Content is versioned, so when a policy changes in one region, answers change there too, and every answer can show its source.
Consistent answers across every branch and region.
Recommendations based on behaviour, location and season, with regional differences built in: the right products for summer in Jazan are not the same as winter in Hail. Users can switch personalisation off, and the model only uses data they have consented to share.
More relevant offers in each region.
Infrastructure is deployed in Saudi cloud regions or your own data centres when required. A routing layer sends each request to the right model, local or external, based on data sensitivity and cost, and masks personal data when an external model is used.
Data residency met without giving up model choice.
Dashboards track accuracy, refusal rates, response time and model spend by region, language and feature. Agreed test sets run before every release, and alerts fire when quality drops or costs jump unexpectedly.
AI quality managed like any other business metric.
Role-based access, encryption, secure development practices and logging aligned with the NCA Essential Cybersecurity Controls, with protections against prompt injection and data leakage specific to AI features. Audit logs show who asked what, which sources were used and what the AI returned.
Ready for security reviews from enterprise and government clients.
Who this is for
The companies that come to us for national AI work share one thing: they operate, or intend to operate, in more than one region of the Kingdom, and they cannot afford a product that only works for one audience. Beyond that, their needs differ sharply. A regulated bank, a retail chain and a government supplier face different rules and different users, so we plan each first release around the constraint that matters most for that business. Vision 2030 programmes have also pushed many sectors toward digital services at once, which makes shared foundations more valuable.
Brands with stores or delivery across many cities want one app that feels local everywhere. AI here means recommendations by region and season, an assistant that understands how customers in different provinces actually speak, and forecasts that support stock planning from central warehouses to local branches. We design the content model so regional teams can adjust offers without changing code.
Regional teams control their own content.
Banks, finance companies, insurers and fintechs, including those testing ideas in SAMA's regulatory sandbox, use AI for onboarding checks, document reading, customer service and fraud detection. These apps need explainable decisions, careful data handling and human review of anything that affects a customer's money or eligibility. We build in the logging and review steps your compliance and risk teams will expect. Where a third party model provider is involved, we document the outsourcing arrangement so it can be assessed under your institution's own policies.
Companies serving ministries, public entities and the large Vision 2030 development projects must meet strict security and data requirements, often including in-Kingdom hosting and NCA controls. AI apps in this space focus on document workflows, field reporting, visitor services and multilingual communication with large workforces. Documentation for security reviews is planned as a deliverable from the start.
Security documentation is scoped, not improvised.
Many Saudi businesses grow from Riyadh, Jeddah or the Eastern Province into other regions and find their tools do not travel. AI mobile app development in Saudi Arabia for these clients often means rebuilding a single city app into a national platform, with dialect coverage, regional pricing logic, multi-branch dashboards and forecasting that works for new locations with little history. Head office gains one view of every region, while local managers keep the tools they already know.
How we work together
For national programmes we usually agree a fixed scope for the foundations and first region, then a phased plan for the remaining regions that can be adjusted as results come in. A retainer covers model updates, new languages and dialect tuning, and regular governance reviews. Clients with a long roadmap often add a dedicated team. Our Riyadh team leads Saudi engagements and works with teams in other cities by video call as the rollout reaches them, supported by colleagues in Dubai and Karachi, with 200+ projects delivered across the UAE and the US behind the way we work.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
Native and cross platform mobile apps, web dashboards, hosted and self-hosted language and speech models, retrieval search, Saudi cloud regions, licensed payment gateways for mada and wallets, Nafath integration where permitted and Fatoora e-invoicing connections. Every component is chosen so your own team, or another vendor, can maintain it later without relying on us.
01Mobile
02Data and cloud
03Marketing and tracking
National identity, local payments, data residency and Arabic dialect coverage.
Saudi users expect Nafath sign in for sensitive services, mada and local wallets at checkout and Arabic interfaces that feel natural, not translated. Regulators expect personal data to be handled under the PDPL and, for many sectors, kept inside the Kingdom. Enterprise and government buyers will check NCA controls. Planning these from the start avoids costly rework when the app moves from pilot to national launch.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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