AI App Development Company in Dubai & the GCC
Benanetwork builds AI mobile and web applications for GCC brands using React Native, Expo, Flutter, and Progressive Web Apps, with GPT-5, Gemini, and Claude powering in-app assistants, recommendations, and content. Backends run on Supabase, Firebase, and Google Cloud, and every app ships with GA4, attribution, and app store optimization handled by the same team.
Apps Built for Retention, Not Just Launch Day
Most app projects die after launch because nobody owns acquisition and retention. We build the app and run the growth: onboarding funnels, push and lifecycle messaging, attribution, and store optimization, with AI features chosen because they raise activation or retention rather than because they demo well.
What We Build Into Apps
Cross-Platform Apps
One React Native or Flutter codebase shipping to iOS, Android, and the web where it makes sense.
In-App AI Assistants
Streaming chat, voice input via Whisper, and tool-calling assistants that act inside your product.
Recommendations & Personalization
Embedding-based similarity and behavioral models that reorder feeds, catalogs, and offers.
Backend & APIs
Supabase or Firebase with PostgreSQL, row-level security, edge functions, and REST/GraphQL endpoints.
Growth Instrumentation
GA4 for Firebase, deep links, push notifications, and event taxonomy designed before the first sprint.
Store Launch & ASO
App Store and Play Console setup, review readiness, keyword and creative optimization.
Start a Quick Conversation
Direct line to the product and engineering team.
App Technology Stack
Cross-platform by default so you fund one codebase; native modules added only where the product genuinely requires them.
Mobile & Apps
- React Native
- Expo
- Flutter
- PWA
- Firebase
- App Store & Play Console
- Push & deep linking
AI Models & APIs
- OpenAI GPT-5
- Google Gemini
- Anthropic Claude
- Llama
- Mistral
- Whisper
- ElevenLabs
AI Engineering
- LangChain
- LlamaIndex
- RAG pipelines
- Vector search (pgvector, Pinecone)
- Embeddings
- Function calling
- Fine-tuning
- Evals & guardrails
Cloud & Data
- Google Cloud / Vertex AI
- AWS
- Supabase
- PostgreSQL
- BigQuery
- BigQuery ML
- Cloud Run
- Edge Functions
Marketing & Analytics
- GA4
- Google Tag Manager
- Server-side tagging
- Google Ads API
- Meta Conversions API
- Looker Studio
- Brevo
- Search Console
How We Judge an App Build
- Time to first value under 60 seconds from install.
- Crash-free sessions above 99.5% at launch, monitored continuously.
- A defined event taxonomy so product decisions come from data, not opinion.
- AI features gated behind evals and cost controls so token spend stays predictable.
- Arabic and English interfaces with correct RTL behavior on both platforms.
App Delivery Process
Product Definition
Core loop, MVP scope, and the two AI features most likely to drive activation.
Prototype & Design
Clickable prototype and design system validated with real users before engineering scales up.
Build & QA
Two-week sprints, TestFlight and internal testing tracks, automated and manual QA.
Launch & Grow
Store submission, ASO, paid user acquisition, and retention experiments post-launch.
AI App Development — Frequently Asked Questions
React Native or Flutter — which should we choose?+
React Native with Expo if your team already writes TypeScript or you share code with a React web app. Flutter if you want tight control of custom UI and high-frame-rate animation. Both are production-grade; we recommend based on your team and roadmap, not preference.
How long does an AI app take to build?+
A focused MVP with one or two AI features usually takes 8–14 weeks from kickoff to store submission. A prototype you can put in front of users is typically ready in 3–4 weeks.
How much does app development cost in Dubai?+
MVPs typically start around USD 15,000 and scale with integrations, backend complexity, and design depth. We quote in phases so you can stop or expand after each milestone.
Will Apple approve an app with AI features?+
Yes, provided you handle content moderation, disclose AI-generated output, set an appropriate age rating, and follow the rules on user-generated content. We prepare the review documentation as part of submission.
How do you control AI running costs?+
Model routing, caching, prompt compression, streaming, and smaller models for routine tasks. We set per-user rate limits and monitor token spend in a dashboard from day one.
Can you take over an existing app?+
Yes. We start with a code and architecture audit, deliver a written assessment with risks and quick wins, then take over the roadmap if it makes sense for both sides.
Do you handle user acquisition after launch?+
Yes — that is our origin. App campaigns on Google and Meta, ASO, attribution setup, and retention messaging are run by the same team that built the product.
Turn Your App Idea Into a Scope
Describe the product in a paragraph. We reply with an MVP scope, a stack recommendation, and a phased budget within one business day.
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Reviewed by: Amr Atef · Profile