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AI-Powered Mobile Apps Mobile apps with AI that works offline — and in the cloud when needed.

Mobile applications enhanced with intelligent AI capabilities. Delivered by our Mobile App Development team in 6 to 14 weeks. USD pricing.

Part of our Mobile App Development practice — see related capabilities below.

6–14WEEKS
iOSAND ANDROID
NativePERFORMANCE
ASOREADY

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Trusted Engineering Force

Who we've built for.

How we work

Focus
AI-Powered Mobile Apps
Stack
React Native · Flutter · Swift · Kotlin · Expo · Firebase · AWS Amplify · App Store Connect
Integrations
Stripe · Apple Pay · Google Pay · push notifications · biometric auth · offline sync
Typical timeline
6 to 14 weeks
Compliance
App Store guidelines · Google Play policies · GDPR · accessibility (WCAG mobile)

We build AI-powered mobile apps: on-device ML for offline intelligence, voice interfaces, camera-based computer vision, and cloud LLM copilots integrated into native mobile UX.

What we deliver — AI-Powered Mobile Apps

On-device ML models

Core ML and TensorFlow Lite for offline classification and detection.

Voice and conversational AI

Speech-to-text, voice commands, and mobile chatbot interfaces.

Camera and vision AI

Real-time object detection, OCR, and AR overlays on camera feed.

LLM copilots in mobile

In-app AI assistants with streaming responses and context awareness.

Personalization engines

On-device recommendation and adaptive UI based on user behavior.

Privacy-first AI

On-device processing when data cannot leave the phone.

Typical engagement ranges

Cross-platform MVP

From $3,500

  • React Native or Flutter MVP.
  • iOS and Android from one codebase.
  • Typical 6 to 10 weeks.

Native app build

From $14,000

  • Swift and/or Kotlin native apps.
  • Platform-specific UX polish.
  • Typical 10 to 14 weeks.

Enterprise mobile suite

From $35,000

  • Multiple apps or white-label.
  • Backend APIs and admin panel.
  • Ongoing release cadence.

Exact scope and pricing locked on the scoping call. Maintenance retainers available.

FAQ

On-device for privacy, offline use, and latency. Cloud for complex reasoning and large models. Hybrid is common.

We profile inference cost and use model quantization and background scheduling to minimize battery impact.

Yes — on-device models run fully offline. Cloud LLM features need connectivity with graceful offline fallbacks.

From $14,000 for apps with integrated AI features. Complex vision or voice AI from $21,000.

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