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.

Mobile app development
  • 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

  1. 01

    Shape the product

    • User flows
    • Platform decision
    • AI surface map
  2. 02

    Build and test

    • Two-week builds
    • TestFlight and internal tracks
    • Device testing
  3. 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.