AI mobile apps
Native Android and iOS or cross-platform Flutter and React Native apps with AI at the core.
AI App Development
AI App Development Company for smarter Android, iOS and web apps
We design and build AI-powered apps from scratch, or add AI to the app you already have: personal recommendations, smart search, in-app assistants, voice, camera vision and predictions that keep users coming back.
- New AI apps or AI added to yours
- Android, iOS, Flutter, React Native
- Design, build, launch and scale
450+Projects launched
7+Years of experience
20+Dedicated developers
96%Client retention
In short
Dinoustech is an AI app development company that builds AI-powered mobile and web apps for startups and enterprises. We add features such as personal recommendations, AI chat and voice assistants, smart search, image and document recognition, and predictive analytics to Android, iOS, Flutter and React Native apps. An AI-powered MVP usually takes 10 to 14 weeks, and adding AI features to an existing app takes 3 to 8 weeks.
The basics
What makes an app AI-powered?
An AI-powered app learns from data and adapts to each user instead of showing everyone the same screens. It might recommend the next product, understand a spoken request, read a document from the camera, flag a risky transaction or answer a question in plain language.
Some AI runs in the cloud, using models like GPT or Gemini through secure APIs. Some runs on the phone itself with Core ML, TensorFlow Lite or ML Kit, which is faster, works offline and keeps personal data on the device. A good AI app uses each where it fits best.
The goal is never AI for its own sake. We pick features that move your key numbers, such as conversion, retention, time saved or support load, and measure them after launch.
What we build
AI App Development Services
Product thinking, design and engineering in one team, so the AI fits naturally into your app.
Recommendation engines
Personal feeds, products, matches and content that raise engagement and order value.
Voice and chat assistants
In-app assistants that understand natural speech and text, and can act on the user's behalf.
Computer vision
Scan documents, recognise products, faces or damage, and power AR try-ons using the phone camera.
Predictive features
Forecast demand, churn, prices or health risks and show insights users can act on.
AI in existing apps
Add AI features to your live app through APIs, without a full rebuild and without downtime.
Use cases
AI Apps We Build for Every Industry
Our industry app teams already know these domains; AI makes each app smarter.
| App type | AI features | Related service |
|---|---|---|
| Dating app | AI matchmaking, profile verification, safe-chat moderation, conversation starters | Dating apps |
| Healthcare app | Symptom checker, voice-to-notes, report reading, patient risk alerts | Healthcare apps |
| Fintech app | Fraud detection, credit scoring, spend insights, AI money assistant | Fintech apps |
| eCommerce app | Visual search, recommendations, dynamic pricing, shopping assistant | eCommerce apps |
| Taxi and delivery app | Route optimisation, demand prediction, ETA accuracy, surge pricing | Taxi apps |
| Astrology and education apps | AI Kundli reading, AI tutor, personalised learning paths | Astrology apps |
How we work
Our AI App Development Process
A clear, step-by-step process with a working demo early, so you always know what you are getting.
- 01
Discovery
Market, users and goals; we decide which AI features are worth building first.
- 02
UX and AI design
Screens, flows and how the AI explains itself to users, with clickable prototypes.
- 03
Agile development
Two-week sprints with demo builds, covering app, backend, AI models and admin panel.
- 04
Testing and launch
Device, accuracy, speed and security testing, then Play Store and App Store release.
- 05
Grow and improve
Analytics, A/B tests and model retraining to keep improving results after launch.
Technology
AI Tools and Technologies We Use
We pick proven, well-supported tools for each project, and keep your product free to switch models later.
Mobile
- Kotlin
- Swift
- Flutter
- React Native
- Core ML
- TensorFlow Lite
AI models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Whisper
Frameworks
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- Hugging Face
- PyTorch
Data & search
- Pinecone
- pgvector
- Weaviate
- Elasticsearch
- PostgreSQL
- Redis
Cloud
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- Docker
- Kubernetes
Pricing
AI App Development Cost
Starting prices for AI-powered apps. The final cost depends on platforms, features and integrations.
| Scope | What you get | Timeline | Starting from |
|---|---|---|---|
| AI features in an existing app | 1-3 AI features, API integration, testing | 3-8 weeks | $6,000 |
| AI-powered MVP | Cross-platform app, backend, admin, core AI feature | 10-14 weeks | $20,000 |
| Full AI product | Native or cross-platform app, several AI features, analytics, scale-ready | 4-8 months | $45,000 |
Prices cover the AI work plus the app itself. Store fees, cloud hosting and model usage are billed at actual cost.
Why Dinoustech
Why Choose Dinoustech for AI App Development
450+ projects launched
Apps, platforms and software shipped for startups and enterprises in India, the USA, UK, UAE, Canada, Australia and Singapore.
Your data stays yours
NDA from day one, private model hosting when needed, and no training of public models on your data. GDPR and HIPAA-ready builds.
Working demo in weeks
We ship a usable prototype on your real data early, so you judge results, not slides, before the full build.
Support after launch
Monitoring, accuracy reviews, cost tuning and model upgrades are part of the plan, so the AI keeps getting better.
Free, no obligation
Get Your Free AI App Development Plan
Share your idea and an AI expert will reply within 24 hours with:
- The best AI approach for your goal
- Features, tech stack and timeline
- A clear cost estimate
- NDA before we discuss details
FAQs
AI App Development FAQs
How much does it cost to build an AI app?
Adding one to three AI features to an existing app usually starts around $6,000. An AI-powered MVP for Android and iOS starts around $20,000 and takes 10 to 14 weeks, and a full AI product with several AI features starts around $45,000.
Can you add AI to my existing mobile app?
Yes. We add features such as chat assistants, recommendations, smart search, document scanning and predictions to live Android, iOS, Flutter and React Native apps through secure APIs, usually without a rebuild.
Which AI features are most useful in mobile apps?
The most valuable are personal recommendations, AI chat or voice assistants, smart search, camera-based recognition, fraud and risk detection, and predictive insights. The right mix depends on your users and business goals.
Do AI apps need the internet to work?
Not always. Cloud AI needs a connection, but on-device AI with Core ML, TensorFlow Lite or ML Kit can run offline, respond faster and keep personal data on the phone. We often combine both.
How long does AI app development take?
An AI-powered MVP takes about 10 to 14 weeks, adding AI to an existing app takes 3 to 8 weeks, and a full AI product takes 4 to 8 months, depending on features and integrations.
Do you build AI apps for clients outside India?
Yes. We build AI apps for clients worldwide, including the USA, UK, UAE, Canada, Australia and Singapore, with overlapping work hours, weekly demos and English-speaking project managers.
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