Services · Mobile app development · AI apps
Codeeo offers AI app development Riyadh teams can put to work: mobile and web apps that read Arabic documents, answer staff and customer questions from your own records, summarise approvals and predict demand across your branches. Part of our team of 80+ is based in Riyadh, so discovery workshops, user testing and handover happen in the same city as the people who will use the app every day.
We treat AI as one component inside a working product. The app still needs clear screens, permissions, audit logs and integrations with the systems your organisation already runs. The model makes the work faster; the product around it makes the results trustworthy.
200+ companies servedFrom a first store to an ADX listed developer
What the app can include
Riyadh is where most ministries, regulators and national headquarters sit, so a lot of the work that reaches us is heavy on paperwork, approvals and formal Arabic. Tender files, policy circulars, contracts and internal memos pile up faster than teams can read them. At the same time, the city's retail, food and services businesses run dozens of branches spread from the northern districts to the south, with stock and staffing decisions made daily.
The features below are the ones we build most often for those two groups. Each one runs inside an app with proper user roles, so a branch manager, a legal reviewer and an executive see different things. We pick the model for each feature separately: some tasks suit a large hosted language model, others work better with a small model running close to your data, and some need no generative AI at all. That choice is made during discovery and written into the scope.
Scanned tenders, contracts and official letters are converted to searchable text, then key fields such as parties, dates, obligations and penalty clauses are pulled into a structured record. Reviewers see the extracted value next to the highlighted source line, so nothing is accepted without a human check.
Hours of manual reading reduced to a short verification step.
Long approval chains are common in Riyadh's larger organisations. The app writes a short summary of each request, lists what changed since the last reviewer and flags missing attachments before it reaches the next desk. Executives approve from their phones with the full file one tap away.
Requests move through approval chains with fewer returns.
Staff ask questions in Arabic or English and get answers drawn only from your policies, manuals and circulars, with the source document cited. Access follows the same permissions as your file system, so a branch employee never sees content meant for head office.
Fewer repeated questions to HR, legal and IT.
Recorded meetings in Najdi Arabic, Modern Standard Arabic or English are transcribed, split by speaker and turned into decisions and action items. Notes are stored against the project or client record rather than sitting in someone's inbox.
Decisions are recorded once and found later.
For chains spread across Riyadh, the app combines sales history, weekends, Ramadan hours, school terms and large city events to suggest stock and staffing levels per branch. Managers can accept, adjust or reject each suggestion, and the model learns from those corrections.
Less waste and fewer empty shelves across branches.
Sales reps, inspectors and maintenance crews get a daily route that accounts for the ring roads, peak traffic around the business districts and appointment windows. The AI reorders stops when a visit runs long and tells the next customer of the new arrival time.
More completed visits per day with less driving.
Riyadh Season and large conferences change traffic, footfall and delivery demand across whole districts for weeks at a time. The app reads your event calendar alongside past results and warns managers early about branches likely to be overloaded, so rosters, stock and delivery slots can be adjusted before the crowds arrive rather than during them.
Busy weeks are planned for instead of reacted to.
Where your use case allows it, customers and contractors sign in through Nafath so identity is confirmed before any AI feature touches their data. Sensitive actions ask for a second confirmation, and every model response linked to a user is logged.
AI features only ever act for a verified person.
A chat assistant answers common customer questions in Arabic first, checks order or case status through your APIs, and hands the conversation to a human agent with a written summary when it reaches the limit of what it should answer.
Agents spend their time on the cases that need a person.
An admin view shows how often the AI was corrected, which questions it could not answer, response times and usage by department. Test sets run before each release so a model update cannot quietly make answers worse.
You can see whether the AI is helping, in numbers you trust.
Who this is for
Custom AI app development in Riyadh tends to start from one of four places. The technology overlaps, but the risks, the stakeholders and the approval process are different in each, and that changes how we plan the first release. If your situation sits between two of these, that is normal; we scope from the problem, not the category. Since the Riyadh Metro opened, commuting patterns in parts of the city have also shifted, and some of our retail and service clients now want their forecasts and field apps to account for footfall around stations.
Many Riyadh companies deliver services to ministries and public bodies and must meet the National Cybersecurity Authority's controls and the client's own security reviews. We plan hosting inside the Kingdom, role-based access and full logging from the start, and we prepare the documentation your client's security team will ask for. The AI features are kept explainable, with sources shown, because reviewers in these settings rarely accept an answer they cannot trace.
Security documentation is part of the scope, not an extra.
Banks, investment firms, insurers and advisory practices in and around the King Abdullah Financial District handle client files that fall under SAMA rules and the Personal Data Protection Law. Their AI apps usually focus on reading documents, preparing client summaries and checking forms for missing data. We keep personal data out of external model calls unless it is approved, masked or processed by a model hosted under your control.
A chain with branches in Al Olaya, Al Malqa, Al Yasmin and the eastern districts makes hundreds of small decisions a day about stock, shifts and promotions. Here the AI works quietly inside a manager app: forecasts, reorder suggestions and customer feedback grouped by theme. Success is measured in branch numbers, so we agree the measures before building.
Forecasts are only as good as your sales history, which we review first.
Founders who need an AI mobile app development partner in Riyadh for a first release often have the idea, the market and a prototype built on a public model. We turn that into a product with accounts, billing, Arabic interfaces, cost controls on model usage and analytics. We are frank about which features to cut so the first version reaches real users quickly.
How we work together
Most Riyadh clients begin with a fixed scope pilot on one department or one branch group, so leadership can judge the AI on real results before wider rollout. After launch, a monthly retainer covers model updates, new questions added to the evaluation set and small feature releases. Larger organisations with a long programme of AI work sometimes take a dedicated team that sits alongside their own IT staff in Riyadh and follows their internal processes. Whichever route you choose, the scope, the measures of success and the people responsible on both sides are written down before work begins.
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
We use Flutter or native code for mobile, modern web frameworks for admin panels and a mix of hosted and self-hosted language, speech and vision models. Hosting is planned in Saudi data centres where your data rules require it. Arabic text handling, right to left layouts and Hijri dates are tested on the devices your Riyadh users actually carry, not only on simulators.
01Mobile
02Data and cloud
03Marketing and tracking
One high-volume task that staff already find slow.
The best first project is narrow and frequent: reading a type of document, answering a common category of questions or forecasting one product group. It gives clear before and after measures and builds trust with management. Broader assistants come later, once your data is organised and staff have learned how to check and correct AI output. Starting wide usually means a long pilot and a vague result that nobody can judge.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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