AI-Native Mobile App Development
Consumer & enterprise mobile apps with native speed and on-device intelligence.
Engineering Approach & Outcomes
Great mobile apps require uncompromising performance: instant startup times, smooth 60 FPS gesture navigation, offline resilience, and thoughtful micro-interactions.
We build native and cross-platform apps using Swift, Kotlin, and React Native, pairing them with on-device ML acceleration (CoreML, Vulkan) to perform inference without racking up massive cloud compute bills.
From App Store submission to in-app subscription management and crash reporting telemetry, we guide your mobile product through the entire lifecycle.
Key Architecture Deliverables
Native & Cross-Platform UI
Fluid 60 FPS interface with native haptics, gesture handling, and responsive dark/light mode.
On-Device ML Engine
Apple CoreML and Android NNAPI integrations delivering sub-2s inference without constant cloud reliance.
Subscriptions & In-App Purchases
RevenueCat and StoreKit 2 integration with receipt validation, paywall experimentation, and entitlement checks.
Offline Sync & Local Cache
SQLite and WatermelonDB offline-first architectures that sync smoothly whenever connectivity resumes.
Production Tech Stack
StarryAI Flagship App
10M+ downloads with sub-2s on-device model acceleration and 4.8★ App Store rating.
Fixed-Scope Sprints
We lock in exact acceptance criteria, milestone demos every 10 days, and full IP handover. Senior-led with zero junior hand-offs.
Frequently Asked Questions
Straightforward answers about our Mobile App Development engagements.
Do you handle App Store and Google Play submissions?▼
Yes. We take full ownership of the submission process, metadata preparation, test flight distributions, and App Store review resolution.
Should we build native (Swift/Kotlin) or React Native?▼
We evaluate your hardware needs, timeline, and team skills. For 90% of apps, modern React Native offers indistinguishable performance with 50% lower maintenance overhead.
How do you test on real devices?▼
We run automated E2E test suites on device test farms across current and legacy iOS and Android screen resolutions.