Too many devices to check by hand
Screen sizes, makers and OS versions multiply faster than any team can retest each release.
[ Why mobile automation testing matters ]
Mobile automation testing uses code to operate your app the way users do, tapping, swiping, typing and switching apps, and checks every screen on the devices that matter. The device checks your team repeats before each store submission become a suite that runs on every build.
Unlike a website, you can’t fix a mobile release for everyone in minutes. Fixes wait for store review and for users to update, so catching problems before the build leaves your pipeline matters more.
Part of our automation testing services →
The problems it solves
Screen sizes, makers and OS versions multiply faster than any team can retest each release.
A broken build waits for store review to fix, and users who don’t update keep the bug.
Permission prompts, poor signal, incoming calls and backgrounding break flows that work on a desk.
Every change needs checking on Android and iOS, often from one shared codebase.
[ How it helps your product ]
Five outcomes product and engineering leads ask us about, and how a well-built suite delivers each one.
Smoke tests run on every build and full regression runs unattended, so a broken build is caught before it reaches testers or beta users.
More devices, OS versions, screen sizes and network conditions than a manual pass can reach in the same window.
Critical journeys are checked the same way before every store submission, not only before the big releases.
Building the suite is an upfront investment. Each later run costs little, and manual device time moves to work only people can do.
Stable identifiers, proper waits and a clean app state per run keep failures meaningful, so a red build means a real problem.
| Manual-only device testing | Automated mobile regression | |
|---|---|---|
| Regression cycle | Repeated by hand on devices before each submission | Runs on every build, unattended |
| Device coverage | The handful of phones on the team’s desks | An agreed device and OS matrix, in parallel |
| Consistency | Varies with time pressure and who is testing | Same steps and checks on every device, every run |
| Feedback to developers | Often days after the change | Inside the pipeline run, before beta |
| Evidence | Notes and screenshots, where someone captured them | Video, screenshots and device logs for each failure |
| Where testers spend time | Repeating known checks on device after device | New features, usability and exploratory testing |
Honest note: automation suits stable, repeatable checks. New features, usability, real biometrics and exploratory work stay with people, and we’ll tell you which is which.
[ Types of mobile automation we deliver ]
Most teams start with smoke, regression and end-to-end journeys on their main platform, then widen devices and layers as the suite proves itself.
Native Android apps tested on the phones, tablets and Android versions your users run, from fast in-app checks to flows that reach system screens.
Native iPhone and iPad apps automated with XCUITest or Appium, on simulators for speed and real devices before release.
One suite for apps built once and shipped to both stores: Detox for React Native, integration_test for Flutter, Appium where you need both native and web views.
Your website or PWA tested in the mobile browsers people actually use, on real phones and tablets.
Each screen and feature checked against its rules: inputs, validation, states and the messages users see.
The checks your team repeats before every store submission, turned into a suite that runs on every build.
A short suite that installs each new build, launches it and walks the core paths, so broken builds never reach testers or beta users.
Whole journeys from first launch to confirmation, including the backend, emails and third-party SDKs behind them.
The same suite run across a device and OS matrix built from your analytics, on our in-house lab and cloud device farms.
API calls set up accounts and data and check backend state, so device tests stay short and a failure points to the layer that broke.
Suites wired into your pipeline: Fastlane builds the app, tests run on emulators or devices, and only passing builds go to TestFlight or Play internal testing.
We take over existing mobile suites, fix flaky tests at the cause, and move between frameworks when there’s a clear reason to.
[ Mobile-specific scenarios ]
The things that make mobile testing different from web, built into your suite rather than left for someone to check by hand.
Swipe, scroll, pinch, long-press and drag, on real screens.
Camera, location, contacts and notification prompts, allowed and denied.
Delivery, tap-through and the screen each notification opens.
Links from email, web and other apps landing on the right screen, signed in or not.
Fresh installs, upgrades from older versions with data kept, and clean removal.
No signal, slow connections and switching networks mid-task.
Calls, backgrounding and returning to the app without losing state.
Purchase, restore and cancel flows using App Store sandbox and Google Play test accounts.
Face ID, Touch ID and fingerprint success and failure, simulated on simulators and emulators.
Translated strings, right-to-left layouts and locale formats.
Screenshots of key screens compared build to build, per device size.
Labels, touch-target size and contrast checked on every build.
[ How you benefit from working with us ]
Beyond the tests themselves: how we work with your team, and what you keep when the engagement ends.
We work with Appium, XCUITest, Espresso, Detox, Maestro, Flutter integration_test and more, so we recommend what fits your app and team, and explain why.
Our in-house device lab plus BrowserStack, Sauce Labs, LambdaTest, AWS Device Farm and Firebase Test Lab, chosen to match your device matrix.
Frameworks are written in your repository, in your team’s language, with documentation. No proprietary layer, no lock-in.
Our mobile app testers explore new features and real-device quirks while automation covers regression.
Every failure comes with video, screenshots and device logs, and real defects go into Jira with device and OS details.
A fixed-scope build, managed testing, a dedicated team or an engineer in your sprints. See all six.
[ Technology & tool stack ]
We pick each layer with your team, based on how your app is built, the devices your users have and the pipeline you already run. On the right is an example layout.
tests/ smoke/ launch.spec.ts e2e/ signup.spec.ts checkout.spec.ts device/ permissions.spec.ts deeplinks.spec.ts network/ offline.spec.ts screens/ LoginScreen.ts CartScreen.ts api/ orders.client.ts data/ users.json config/ android.conf.ts ios.conf.ts cloud.conf.ts fastlane/ Fastfile .github/workflows/mobile-tests.yml
Example only. Your layout follows your framework, language and team.
Frameworks, and where each fits best
One suite across iOS and Android, covering native, hybrid and mobile web, in the language your team uses.
Appium testing services →Apple’s own framework: fast, stable iOS tests in Swift, kept next to your app code.
Google’s framework for fast, in-process Android UI tests in Kotlin or Java.
Android tests that reach outside your app: system dialogs, notifications and settings.
React Native apps, with gray-box tests that wait for the app to be idle.
Simple YAML flows for quick coverage of key journeys.
JavaScript and TypeScript teams running Appium with a modern test runner.
Flutter apps, with tests written in Dart alongside the widget code.
Teams that want a low-code tool with scripting when they need it.
Keyword-driven tests through AppiumLibrary that non-developers can read.
Comparing tools in depth? See our tool-agnostic testing services →
[ How we work ]
You see working tests on real devices early, and you approve each stage before we build on it.
We review your app, platforms, release cycle, analytics and current tests, and pick the journeys worth automating first.
Framework, language, structure, test data, device setup and reporting agreed with your team.
A first set of real tests running from your CI on emulators and devices, so you can judge the approach.
Highest-risk journeys first, then more devices, OS versions and device scenarios.
Suites run on every build or agreed triggers. We triage failures and log real defects in your tracker.
Flaky tests fixed at the cause, the suite kept in step with each OS and app release, and a walkthrough for your team.
[ Deliverables ]
Everything below is yours to keep, whether we stay on to run the suite or hand it over to your team.
What to automate, in what order and with which framework, and what should stay manual.
The devices, OS versions and screen sizes we test on, built from your analytics.
Committed to your repo, under your access controls, in your team’s language.
Which journeys, devices and scenarios are covered, and what comes next.
Test jobs and quality gates in your CI, from build to beta distribution.
Allure or Extent reports with video, screenshots and device logs for every failure.
Steps, device, OS version and evidence, logged in Jira.
Each unstable test, its cause and the fix, so suite health stays visible.
Setup guide, device configuration and a live walkthrough so your team can run and extend the suite.
[ Case Studies ]
Mobile QA work across native Android and iOS apps, a PWA and real devices. Figures are test-case counts from each project; pick a client for the summary.
[ Ways to work ]
A new suite, a rescue of an existing one, ongoing runs or an engineer in your team.
Not sure which fits? Find your model in four questions, compare all six or estimate your cost.
[ FAQ ]
{{ f.a }}
[ Contact us ]
✓ Free one-week POC✓ NDA before access✓ A QA lead replies the same day
[ Keep exploring ]