AI Mobile App Development
iOS and Android apps with AI built in: chat assistants, image and document recognition, voice input and retrieval over your own content, built in Flutter with hosted or on-device models.
Mobile Apps Where the AI Is the Feature, Not an Afterthought
Adding AI to a phone app is mostly an architecture question: which model to call, where it runs, what each request costs, and what the app does when the model is slow, wrong or offline. Most apps call a hosted model through a small backend of their own, so that API keys never ship inside the app. Some features, such as text recognition or simple image labelling, can run on the device with no network at all. We design that split first, then build the app around it in Flutter.
Everything you need, nothing you don't.
AI feature design: choosing between a hosted model API (OpenAI, Anthropic Claude or Google Gemini), on-device machine learning (Google ML Kit or TensorFlow Lite), or a mix of the two
A thin backend proxy that keeps API keys, prompts and usage limits off the device, with a quota per user
Chat or assistant screens with streaming replies, conversation history, and clear handling of errors and slow responses
Camera, voice and document features as required: image recognition, text extraction (OCR), speech-to-text and text-to-speech
Retrieval over your own documents when the assistant must answer from your content and not general knowledge
Cost and safety controls, including content-moderation checks and a plain-language privacy note covering what data leaves the device, prepared for store submission
Our Process
We prototype the AI feature on its own before building screens around it. A model that handles your real inputs poorly is far cheaper to discover in a day of testing than after the app is finished. Once the feature works, we build the Flutter app, add the backend proxy and usage limits, and test on real devices over real mobile networks. Model output is probabilistic, so the screens let users retry or correct an answer instead of treating every reply as final.
Technologies We Work With
Flutter and Dart, the OpenAI, Anthropic Claude and Google Gemini APIs, Google ML Kit and TensorFlow Lite for on-device features, Firebase or Supabase for sign-in and data, a small Laravel or Node.js proxy backend, and pgvector for retrieval over your own content.
AI Mobile App Development Pricing
Straightforward starting prices — every project gets scoped to your exact needs on a free call.
Basic
starting at
- One AI feature, such as a chat assistant or text recognition
- Simple Flutter app of up to 3 screens
- Hosted model API connection
Standard
starting at
- Everything in Basic
- Up to 8 screens with sign-in
- Backend proxy with per-user usage limits
- TestFlight and Play internal-testing builds
Premium
starting at
- Everything in Standard
- Retrieval over your own documents
- Voice, camera or document features
- Content-moderation checks and privacy disclosures
- Store submission support
Custom
as per requirement
- Apps with several AI features or on-device models
- Scope agreed after a prototype of the AI feature
- Milestone-based payments
- One named point of contact
Client feedback
What clients say
“Usama made an old first time app builder very confident with his professional approach, attention to details and a complete understanding of what I was trying to convey. Usama exceeded my expectations on our first meet. Would highly recommend Usama and his team.”
“Great experience working with Usama. He delivered a well-structured, conversion-focused product page and was very responsive to feedback. The final result is much more professional and aligned with improving sales performance. Communication was smooth, and he implemented all requested adjustments quickly. Would definitely recommend and work with him again.”
“Usama went above and beyond to help me, especially as I changed directions quite a few times, however his professionalism throughout made the whole experience, for an inexperienced person, very easy and informative and enjoyable. I would highly recommend Usama and his team.”
“Great job as always.”
“Very nice working with Usama. Will continue using his services.”
“It was a pleasure working with Usama. I am very satisfied with the communication, the final results and the expertise in this field. Looking forward to future collaborations.”
Real reviews from real clients — verify these on Fiverr →
Frequently Asked Questions
Is Flutter the only framework you use for AI apps?
Flutter is our default because one codebase covers iOS and Android and it handles camera, audio and streaming UI well. If your team already uses React Native, tell us and we will assess that route.
Which AI model will the app use?
Whichever fits the job. Providers differ in quality, speed, price and data terms, and those change often, so we test candidates on your real inputs before committing.
Does the app need an internet connection?
Features that call a hosted model do. Some on-device features, such as text recognition or barcode scanning through Google ML Kit, can work offline.
What will the AI cost to run?
Hosted models bill per use, so running cost grows with usage. We estimate the cost of a typical user action from our tests, add per-user quotas so one heavy user cannot run up the bill, and confirm current provider pricing while scoping.
How is this different from AI Chatbot Integration or the Flutter service?
AI Chatbot Integration puts an assistant on a website. Our Flutter service builds cross-platform apps with or without AI. This service is for mobile apps where an AI capability is central to what the app does.
Do the app stores have rules about AI features?
Apple and Google both require privacy disclosures about data collection and have policies on user-generated and AI-generated content. We prepare the disclosures with you as part of submission.
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