AI-Powered Mobile App Development
Generative AI, computer vision, predictive models and AI agents built into iOS and Android apps for UAE businesses - designed, engineered and shipped by one team in Dubai.
AI stops being a headline feature and starts being the reason the app is worth opening. These are the outcomes our UAE clients build for.
Every screen, offer and notification adapts to what the individual user actually does inside your app.
Repetitive workflows - approvals, data entry, triage, follow-ups - run themselves instead of consuming staff hours.
Models score events as they happen, so pricing, routing and risk calls are made in the moment, not overnight.
Forecast demand, churn, maintenance windows and inventory before they become problems on the ground.
AI assistants resolve routine questions in Arabic and English, and hand the rest to a human with full context.
Fewer manual touchpoints, shorter cycle times and measurably lower cost per transaction.
From a first AI feature to a full agent-driven product - delivered by one team, end to end.
End-to-end iOS and Android apps designed around an AI capability, not bolted on afterwards.
Content, summaries, drafts and copilots powered by GPT, Gemini, Claude and open models.
In-app assistants that answer, act and escalate, grounded in your own knowledge base.
Product, content and service recommendations tuned to your catalogue and user behaviour.
Demand, churn, credit and maintenance prediction surfaced where decisions get made.
Document scanning, KYC, defect detection, shelf audits and on-device image understanding.
Speech-to-text, voice commands and hands-free flows for field and frontline teams.
Add AI to the app you already run - no rebuild, no disruption to your release cycle.
Agents that plan, call your tools and complete multi-step tasks on the user's behalf.
Pick one to start with. Most products end up combining three or four once the first one proves out.
Text, image and code generation on frontier and open-weight models.
Custom models trained on your data for scoring, ranking and classification.
Intent detection, entity extraction, sentiment and multilingual understanding.
Detection, OCR, classification and quality inspection from the camera.
Forecasting and anomaly detection wired into live app events.
Collaborative and content-based ranking that improves with usage.
Tool-calling agents that execute multi-step workflows end to end.
Transcription, voice commands and natural speech output.
Domain context, not just code - we have shipped in each of these sectors.
Chosen per project against latency, cost and compliance - never a house default applied blindly.
A sequence built to kill bad ideas early and get a working app in front of real users fast.
We pressure-test the idea against your data, budget and compliance reality before a line of code is written.
We design where AI actually helps the user - and where a plain button is the better answer.
Model selection, RAG design, data pipelines, evaluation criteria and guardrails.
A working, shippable slice of the app in weeks, so you can validate with real users.
Prompt and model evaluation, regression suites, latency budgets and safety checks.
Store release, observability, cost tracking and quality dashboards from day one.
Ongoing tuning of prompts, models and features against live usage and ROI.
Indicative ranges from projects we have actually delivered, not list pricing.
| AI Mobile App Type | Estimated Development Cost | Typical Timeline |
|---|---|---|
| Basic AI Mobile App | AED 45,000 - 80,000 | 6-10 weeks |
| AI Chatbot / Virtual Assistant App | AED 60,000 - 120,000 | 8-12 weeks |
| Generative AI Mobile App | AED 80,000 - 180,000 | 10-16 weeks |
| AI Recommendation App | AED 90,000 - 200,000 | 12-18 weeks |
| Computer Vision App | AED 120,000 - 250,000 | 14-22 weeks |
| AI Agent-Powered Mobile App | AED 150,000 - 300,000+ | 16-24+ weeks |
| Enterprise AI Mobile App | AED 200,000 - 500,000+ | 20-36+ weeks |
Note: These are indicative ranges. The actual cost depends on AI model complexity, number of features, integrations, data requirements, security and compliance needs, platform choice, and ongoing AI infrastructure costs.
Eight reasons UAE product teams keep the build with us instead of splitting it across vendors.
One team that understands both model behaviour and app store realities.
Engineers from a bench of 85+, screened for the exact stack your project needs.
Built to hold up when usage - and inference cost - grows.
Data minimisation, PII handling, key management and audit trails by default.
Flutter and React Native where it saves money, native where it does not.
Discovery, design, build, release and iteration under one accountable team.
Monitoring, model updates, cost tuning and feature work after go-live.
Arabic and English, local compliance expectations and Dubai delivery on the ground.
Straight answers on feasibility, cost, privacy and what happens after launch.
In most cases, yes. We integrate AI through your existing backend or a thin new service layer, so the app you already ship keeps its codebase, release process and store listings. A rebuild is only worth discussing when the current architecture cannot support the data flow or latency the feature needs.
It depends on latency, privacy and cost. On-device is right for camera work, offline use and sensitive data; cloud is right for large generative models and anything that needs frequent updating. Most apps we build use a hybrid: light inference on the device, heavy reasoning in the cloud.
Yes. We ship compact on-device models for the critical paths, queue actions locally, and sync when the connection returns. This matters for field teams in logistics, oil and gas, and inspection work across the UAE.
Yes. We build bilingual apps with full RTL layout support, and we evaluate model output quality in Arabic separately from English rather than assuming it transfers.
We ground responses in your own data using retrieval, constrain outputs with schemas and function calling, add confidence thresholds with human fallback, and run an evaluation suite against a fixed test set on every release.
Yes. We integrate through REST, GraphQL, webhooks or direct connectors to systems such as Salesforce, Dynamics, SAP and Zoho, so the AI acts on live business data rather than a stale copy.
Data minimisation first, then encryption in transit and at rest, tokenisation or redaction of PII before it reaches a model, regional hosting where required, no-training agreements with model providers, and full audit logging.
Standard functionality is deterministic and covered by normal automated tests. AI features are tested statistically: golden datasets, accuracy and relevance scoring, adversarial prompts, latency and cost budgets, and regression checks whenever a model or prompt changes.
Model or inference usage, cloud and vector database hosting, monitoring tooling, store fees, and a support retainer for tuning and feature work. We size these during discovery so the running cost is not a surprise.
We agree the metrics before build - support tickets deflected, conversion lift, processing time saved, retention change, cost per transaction - instrument them in the app, and report against the baseline after launch.
Tell us what you have in mind. We come back with a feasibility view, a feature plan and an indicative budget for the UAE market - usually within three working days.