mobile-app-testing.service · device farm online
Mobile App Testing Services
iOS and Android, tested where your users actually are — real devices, real OS versions, real fragmentation. Functional, UI and Appium automation that catches the bug living on exactly one phone before your 1-star review does.
what it is
"Works on my phone" is not a test strategy.
Mobile app testing verifies your app across the real-world matrix of devices, OS versions, screen sizes and conditions your users actually have — not the two phones on your developers' desks. Functional and UI testing on real hardware, Appium automation for regression, and the network, permission and interruption edge cases that only mobile has. The defect that lives on one popular Android model can tank your store rating overnight.
is this you?
Check what's true. The page will be honest back.
Tick anything that sounds familiar — we'll tell you honestly whether dedicated mobile QA is your next move.
how we work
Four phases. An artifact at the end of each.
Matrix
We pull your install analytics and build the device matrix that reflects your users — the models, OS versions and screen sizes that actually matter, ranked by reach.
→ artifact: data-driven device & OS coverage matrixExercise
Senior testers run your critical flows on real devices: onboarding, payments, push, deep links, offline, interruptions, rotation, low battery — the conditions mobile users live in.
→ artifact: per-device results with screenshots & repro stepsAutomate
Appium suites cover the repeatable regression paths across iOS and Android from one codebase, wired into CI with real-device execution on a cloud farm.
→ artifact: Appium suite in your repo + CI device runsClear
Store-readiness pass — guidelines, permissions, installer and update paths — then a go/no-go report before every submission.
→ artifact: release-readiness sign-off per buildsee it run
One build, every device — watch the one that fails.
A 15-second simulation of a release run across an 18-device matrix — including the part that matters: the single device that surfaces a defect everyone else's phone hides.
the toolkit
Real hardware, cloud farms, one automation codebase.
Real devices for the flows that matter, cloud device farms for the long tail of Android manufacturers — so coverage is broad without buying a drawer full of phones. Automation lives in your repo.
deliverables
Confidence across a matrix you can't hold in two hands.
Built from your real install data — the models and OS versions worth testing, ranked by reach.
Pass/fail by device with screenshots and reproduction steps — no "can't reproduce" standoffs.
iOS + Android regression from one codebase, in your repo, running on real devices in CI.
Push, offline, deep links, interruptions, rotation, low battery, in-app purchase — the mobile-only failures.
Guideline, permission and update-path checks so review approval isn't a gamble.
A go/no-go recommendation, with evidence, before every submission.
proof
Caught on device 14 of 18.
A checkout layout broke on a high-share Android model that the in-house team didn't own — invisible in dev, very visible in reviews. Real-device matrix testing caught it, Appium regression kept it from returning, and the store rating recovered over the following two release cycles.
"Very professional QA services — really happy with the timely service they offered for our mobile apps testing. Highly recommended."
pricing logic
A pod for every release. A pass for one launch.
Mobile QA Pod
Real-device + Appium coverage every release, priced by flows kept green across your matrix. Scale monthly.
your release cadence, coveredRelease-Readiness Pass
One launch, one agreed device matrix, full functional + store checks — one quote, 2–4 weeks.
cleared for App Store + Playstraight answers
Asked on every mobile call. Answered here.
How much does mobile app testing cost?
A mobile QA pod is priced by flows kept under test across your device matrix; a fixed-price release-readiness pass for one launch runs 2–4 weeks with one quote. A 30-minute scoping call against your app and target devices gets you one exact number.
Real devices or emulators?
Both, deliberately. Critical flows run on real hardware across a representative matrix; emulators and cloud farms extend coverage to the long tail cost-effectively. Real devices catch what emulators can't — sensors, performance, manufacturer skins.
Which devices will you test on?
The ones your users actually run. We build the matrix from your install analytics, not an arbitrary list — high-share models on real hardware, the long tail on the farm.
Can you automate mobile regression?
Yes — Appium covers iOS and Android from one codebase, wired into CI with real-device execution, so every build re-verifies your critical flows without manual tapping.
Do you help us pass App Store / Play review?
Yes — release-readiness testing covers store guidelines, permissions, installer and update paths plus the functional and UI checks that make review approval predictable instead of nerve-wracking.
How do you handle Android fragmentation?
By being data-driven, not exhaustive: we prioritize the manufacturers and OS versions in your real usage, cover high-traffic models on real devices, and use the farm for breadth. You get meaningful coverage without infinite cost.
Every user's phone. None of your surprises.
Scope your mobile QA in 60 seconds — or bring your app and target devices to a 30-minute call and leave with a coverage matrix and one number.