iOS

Native iOS apps with Swift and AI.

Fast, maintainable iOS apps built with Swift, App Store-compliant and secure, with the care we bring to our demanding, data-sensitive projects. With AI features that run right in the app when you want them.

What we build

iOS apps that are fast, secure and maintainable.

  • Native development with Swift and current Apple frameworks
  • Secure data handling and on-device processing where it makes sense
  • Integration with your existing backends and interfaces
  • Support from concept through App Store release to maintenance

AI in your iOS app

Native engineering and AI from one team.

We combine native iOS engineering with AI that delivers tangible value: intelligent search, an in-app assistant, automatic classification, or reading documents right on the device. Where sensitive data is involved, processing runs on the iPhone via on-device ML, and the data stays with the user. You get both from one team, one source, with full source code hand-over.

Bring AI into your systems and products

Where it fits

Where native iOS development fits.

Native development with Swift pays off when your app needs to run fast and smoothly, is tightly interwoven with Apple features, or works with sensitive data.

Typical cases: apps with high performance demands, data-sensitive applications in health or finance, deep integration with the camera, Wallet, HealthKit or push, apps with offline operation and later synchronisation, AI features running directly on the device, and internal apps that need to run reliably for years.

From our demanding, data-sensitive projects, we bring the care that apps like these need.

Reference

From our projects

Health medium

iOS health app with a personalized score

Native iOS app with a subscription model

Questionnaire, score calculation and daily changing content. Subscription via in-app purchase, content behind a valid subscription. Automated deployment for several environments.

Published in the App Store, now run by the client's own team.

View project
Health small

On-device AI in an iOS app

An AI feature running directly on the device

A model runs on-device, the evaluation happens locally. Data-frugal and with short paths.

The evaluation runs on the device; the data stays local.

View project

All references

FAQ

Common questions about iOS development

Native with Swift, or cross-platform with Flutter or React Native?

For performance-critical or data-sensitive apps, usually native. If you need iOS and Android running side by side quickly, cross-platform can make sense — we'll assess which fits your case.

SwiftUI or UIKit?

We build most new apps largely with SwiftUI, and use UIKit where it's needed. In existing apps we work with whatever is already in place.

How does App Store release work, and do you help with the review?

Yes, we handle submission and app review and take care of Apple's guidelines, so the app gets approved without detours.

Can AI run directly on the iPhone without data leaving the device?

Yes. With on-device ML and Core ML, many AI features can run locally, and the data stays with the user.

Do you use the current Apple AI frameworks?

Where they fit, we tap into Apple's on-device capabilities. For more demanding AI, we connect the app to a model hosted in the EU.

How securely can sensitive data be stored in an iOS app?

Through Keychain, encryption and protection via Face ID or Touch ID. For particularly sensitive data, we keep the processing on the device.

Does the app also work offline?

Yes, with local data storage and later synchronisation once a connection is available again.

Do you support iPad, Apple Watch and other Apple devices?

Yes, from a universal iPhone and iPad app to companion apps for Apple Watch.

Can you take over an existing iOS app or individual modules?

Yes, individual modules or the whole app, including code written by others.

How do you keep the app current with new iOS versions?

Through maintenance with regular updates for new iOS versions, devices and security requirements.

EU hosting

Processing and storage within the EU.

Data protection by design

Data minimization and access control, built in from the first draft.

AI Act check included

A conformity assessment for your use case is part of it.

An iOS project in mind?