The problem: the app nobody ends up opening
Most corporate apps fail for the same reason: they were designed around a feature list, not around the actual moment and context someone will use them in. An app your field team should open with one hand, wearing gloves, with poor signal — needs very different design decisions than an office app with a good connection and a large screen.
How we solve it
- Design from the real usage context: where, in what light, with what connection and at what pace the app will be used — before designing a single screen.
- Honest technology choice: native when performance or hardware access (camera, sensors) demands it; hybrid when development speed outweighs the performance difference.
- AI integration where it adds value: if the app needs to interpret a photo, a document or a sensor with AI, the same team that builds the app builds the model — no integration friction between separate vendors.
- Publishing and maintenance: we handle App Store / Play Store submission and subsequent updates, not just the first version.
Expected result
Every app's goal is measured in real adoption: people still using it in week 8, not just on launch day. That's the success criterion we set in Phase 2 of our methodology, before writing any code.
Technology stack we use
Native iOS & Android
When performance, camera or device sensors are critical to the app's core function.
Hybrid frameworks
When development speed and a single codebase for both platforms take priority.
Robust backend
The app is just the front door — the backend is what holds data, users and business logic behind it.
Computer vision models
Integrated directly into the app when the case requires analyzing a photo on the spot, as in Spray Analyzer.
Methodology
Related services
Mobile apps rely on our backend service and, when the case requires it, on computer vision integrated directly into the device.