Arte Soft · Product engineering studio

Software that works.
A team that ships.

We build apps, integrate realtime AI and communication, and maintain software that people depend on. Our own published products show the work: recording, calendars, voice assistants and creative tools. Bring us a new idea or an existing system that needs to work better.

On the App Store

What we have shipped.

Our own published products across productivity, video, developer tools, games and health. Explore the real applications and the engineering problems behind them.

Every app, with details →

How we work

One team, from the first sketch to the App Store.

Native, on purpose
Swift and SwiftUI on Apple platforms, with the system frameworks — RealityKit, ScreenCaptureKit, EventKit, WeatherKit — rather than wrappers around them. The apps feel like the platform because they are built from it.
Private by construction
We map permissions, storage and third-party processing for the actual feature. Local processing can be appropriate; cloud AI and synchronisation need explicit data flows and controls. Each product has its own privacy policy.
Shipped, then kept
A release needs more than a working demo. We plan device checks, version compatibility, deployment and ownership handover, then agree the maintenance your product needs.
Found in your language
Language, reading direction, accessibility and device differences are engineering requirements. We define the supported experience and verify the important journeys before rollout.

For other companies

We also build for others.

The same team that ships the apps above takes on a small number of client projects: native Apple apps, Angular web applications, AWS cloud infrastructure and AI features built into products that already exist. Scope, responsibilities and acceptance criteria are agreed before delivery.

Apple platforms

iPhone, iPad and Mac apps in Swift, from architecture to App Store submission, with practical release experience from our own products.

Web and cloud

Angular front ends, serverless back ends on AWS, and the static, multilingual, search-indexed sites you are looking at right now.

AI in products

On-device and cloud models put to work inside real workflows — search that understands a sentence, transcription, generated plans — not chatbots bolted on.

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