Mobile app development
Apps with AI that people keep on the first screen — designed, built, and shipped to both stores.
Overview
Native quality, with AI that feels native
Most products do not need two separate teams. We pick the approach that fits — native where the hardware matters, cross-platform where it does not — and we say which one and why.
AI features are designed for the phone: offline-aware where possible, fast when online, and honest when the model is unsure.
- iOS and Android from one plan
- AI assistants and smart search that respect platform conventions
- Offline behaviour thought through early
- Crash and analytics reporting from day one
- Store submission handled for you
What’s included
What we take on
Apps from scratch
Native or hybrid, from first sketch through to a live listing on both stores.
In-app AI
Copilots, summarisation, and voice or text assistants wired to your backend.
Changing technologies
Java to Kotlin, Objective-C to Swift, or a move to React Native — migrated in steps.
Refactoring
Bring an inherited app back under control so new features stop breaking old ones.
Features and modules
Add payments, messaging, maps, or AI integrations to an app you already run.
Push and engagement
Notification infrastructure and the analytics to tell whether it is working.
Process
How the engagement runs
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01
Shape the product
- User flows
- Platform decision
- AI surface map
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02
Build and test
- Two-week builds
- TestFlight and internal tracks
- Device testing
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03
Launch and iterate
- Store submission
- Crash monitoring
- Post-launch roadmap
Stack
Tools we reach for
- Swift
- Kotlin
- React Native
- Flutter
- Firebase
- OpenAI / on-device
- REST & GraphQL
- Fastlane
Let's talk about the AI you want to ship
Tell us where you are — an idea, a half-built product, or a system that needs AI that earns its keep. We will reply with a practical next step.