iOS & Android Apps With AI Built In
Native mobile apps that use on-device and cloud AI for features users actually want. Not cross-platform compromises. Real Swift, real Kotlin, real performance on every device.
Who This Is For
- •Startups building their first consumer app and need to ship to both stores in under 6 months
- •B2B companies adding a mobile companion to their SaaS product with offline-capable AI features
- •Healthcare and fitness companies needing HIPAA-aware apps with on-device data processing
- •Enterprises replacing aging Xamarin or React Native apps with native rewrites for performance
What You Get
- +Native iOS app (Swift/SwiftUI) and/or Android app (Kotlin/Compose)
- +On-device ML with Core ML or TensorFlow Lite for private, fast inference
- +Cloud AI integration for LLM-powered chat, search, and recommendations
- +REST or GraphQL backend with authentication and push notifications
- +CI/CD pipeline with Fastlane for automated builds and deployments
- +TestFlight and Google Play internal testing for beta distribution
- +App Store optimization: keywords, screenshots, A/B tested descriptions
- +90-day post-launch support window with crash monitoring and hotfixes
Tech Stack
Development Capabilities
Native Development
Swift and SwiftUI for iOS, Kotlin and Jetpack Compose for Android. Native performance with platform-specific UI patterns, gestures, and animations that feel right on each device.
On-Device AI
Core ML on iOS and TensorFlow Lite on Android for private, fast inference without network round trips. Image classification, NLP, and recommendation models that run entirely on device.
Cloud AI Integration
OpenAI, Anthropic, and custom model APIs for features that need full-scale LLMs. Smart routing between on-device and cloud inference based on complexity and connectivity.
App Store Submission
Full App Store Connect and Google Play Console management. App review preparation, metadata optimization, screenshot generation, and release management including staged rollouts.
UI/UX Design
Human Interface Guidelines and Material Design 3 compliant. Figma prototyping, usability testing, and accessibility audits before any code is written.
Security & Privacy
Keychain/Keystore for credentials, certificate pinning, biometric auth, and App Tracking Transparency compliance. Privacy nutrition labels and data handling declarations.
Typical Engagements
Single Platform MVP
$15,000 - $25,000
iOS or Android, 8 to 12 week build, includes design, development, and store submission.
Dual Platform with AI
$30,000 - $50,000
iOS and Android, on-device ML, cloud AI backend, 12 to 20 week build with 90-day support.