Native iOS & Android Apps
Pixel-perfect. Platform-native. Built to scale.
Cross-platform frameworks are a compromise. They ship faster and cost less up front, but the performance ceiling is lower, the native feel is diminished, and the long-term maintenance burden is higher. When your app is your product ; or the primary touchpoint with your customers ; that compromise is not acceptable. We build native: Swift and SwiftUI for iOS, Kotlin and Jetpack Compose for Android. No shortcuts.
Trusted by teams backed by
Native Code. Native Performance. Native Feel.
Every platform has its own design language, its own interaction patterns, and its own performance characteristics. iOS users expect the fluid inertia scrolling of UIKit, the subtle haptics of Core Haptics, and the seamless integration with Face ID, Apple Pay, and Siri Shortcuts. Android users expect Material You theming, back-gesture navigation, and deep integration with Google services. We build to each platform's strengths, not to a cross-platform lowest common denominator.
iOS: Swift 5.10, SwiftUI, Combine, Core Data, Core ML, WidgetKit, App Clips
Android: Kotlin 2.0, Jetpack Compose, Coroutines, Room, DataStore, ML Kit
Shared business logic via Kotlin Multiplatform where appropriate (optional)
RESTful or GraphQL API backends built with Node.js, Go, or Python
Real-time features with WebSockets or Firebase
Offline-first architecture with intelligent sync
On-Device AI That Works Without the Cloud.
The next generation of mobile apps is AI-native. We integrate AI capabilities both on-device ; using Core ML on iOS and TensorFlow Lite on Android for zero-latency, privacy-preserving inference ; and server-side for more powerful workloads. Whether it is natural language processing, computer vision, personalisation, or your custom LLM, we make it run beautifully on mobile.
On-device LLM inference with Core ML (iOS) and TFLite (Android)
Custom model optimization for mobile (quantisation, pruning, distillation)
Vision AI: object detection, OCR, face recognition
NLP: sentiment analysis, entity extraction, intent classification
Integration with your custom LLM or RAG pipeline
Offline AI that works without a network connection
From First Commit to Five-Star Reviews.
We handle the entire journey: UX research and wireframing, visual design, engineering, QA, App Store optimization (ASO), submission, and post-launch monitoring. After launch, we provide ongoing sprint-based development to ship new features, respond to user feedback, and keep the app growing.
UX research, user journey mapping, and prototype testing
High-fidelity UI design in Figma with developer handoff
Automated testing with XCTest (iOS) and Espresso (Android)
App Store and Play Store submission with optimized metadata and screenshots
Post-launch analytics with Mixpanel or Amplitude
Ongoing sprint-based feature development and maintenance
Questions from Professionals Like You
- Native delivers superior performance, better access to platform APIs, lower crash rates, and a more authentic user experience. For consumer-facing apps where quality is a differentiator, the investment in native code pays back through higher ratings, better retention, and lower churn.
- Yes. Most mobile projects require a backend API, database, authentication, push notifications, and cloud infrastructure. We build and deploy the full stack, or integrate with your existing backend if one already exists.
- Absolutely. We can audit your existing iOS or Android codebase and add AI capabilities ; on-device inference, chatbot interfaces, personalisation engines, computer vision features ; without a full rebuild.
- An MVP for a moderately complex app typically takes 12-16 weeks from kickoff to App Store submission. We work in two-week sprints with weekly demos, so you see progress continuously throughout the build.
Your app idea deserves a native build, not a compromise.
Cross-platform shortcuts create technical debt, performance issues, and poor user reviews. Native apps built right earn 5-star ratings and loyal users. Book a call and we'll scope your app, estimate timelines, and show you what it would look like.