The Flutter app testing platform built for real devices.
Run Flutter automation testing across 5,000+ real iOS & Android phones in the cloud — no physical device, no emulators. QPilot.AI writes, runs and self-heals every test in plain English.
Flutter renders to a single canvas. Stock Appium and XCUITest only see the semantics tree — incomplete for testing — unless you wire up a Flutter-specific driver.
Teams pollute production code with thousands of ValueKey() just so tests can find buttons. Refactors break everything.
Legacy flutter_driver runs out-of-process, integration_test runs in-process — plus separate iOS and Android pipelines. More CI to babysit.
Pixel-perfect Material 3 + Cupertino on the same codebase means double the surface area, double the screenshot diffs.
From plain-English authoring to scaled execution and rich reporting — QPilot.AI takes your Flutter app end-to-end across web, mobile and API in one platform.
Write Flutter scenarios in plain English. QPilot generates executable scripts using Appium Flutter Driver (or your preferred framework) in Python, JavaScript or Java and validates every step in real time so nothing ships broken. Embed test data and assertions right inside your prompt.
Save and reuse Flutter test cases across projects. Tweak them in natural language or jump into the code editor. Mix UI flows with API steps via cURL, and share test libraries across your mobile, web and QA teams.
Run your Flutter app on 5,000+ real iOS and Android devices — never emulators — including the latest Pixel, iPhone, Galaxy and Xiaomi models. Same script, both platforms, in parallel.
Group related Flutter tests into collections for coordinated execution. Build cross-platform suites from a single definition, configure once and run anywhere, with intelligent test distribution and native CI/CD hooks for GitHub Actions, Jenkins, GitLab, Bitbucket, Azure DevOps, Codemagic and Bitrise.
Every Flutter run ships a video recording, step-by-step annotated screenshots, device + Appium logs, and performance trends. Self-healing kicks in when your widget tree shifts, so flows keep passing without script edits.
Trigger Flutter suites on every PR, nightly build or release tag. Quality gates block regressions, flake-detection auto-quarantines unstable tests, and Slack, Jira, and Teams alerts notify the right team members the moment something fails.
Manual, automated, performance, visual and agentic AI testing — all on real Flutter-ready hardware in the cloud.
Pcloudy supports every major Flutter automation framework — and lets you skip code entirely with QPilot.AI.
Official Flutter E2E framework — runs unchanged on Pcloudy real devices.
Deprecated by the Flutter team — supported on Pcloudy to ease migration to integration_test.
Native + Flutter automation. Run Patrol tests across our iOS & Android cloud.
Drive Flutter widgets via Appium — reuse your existing Appium infrastructure.
Newer driver with first-class widget tree access — fully supported.
Plain-English flows that work on any Flutter app, even without test hooks.
Flutter renders its own pixels — there are no native views for Appium or XCUITest to grab. QPilot.AI sees Flutter the way a human does: vision + semantics + an agent loop.
Other vendors expose the device. We expose an agent that understands Flutter — parsing the semantics tree, watching the canvas, and acting on intent. That's why teams ship Flutter releases on Pcloudy that simply can't be automated reliably anywhere else.
Upload your Flutter APK or IPA to Pcloudy and pick from 5,000+ real iOS and Android devices in the cloud. Drive the app manually from your browser, run integration_test / Patrol / Appium Flutter Driver suites, or describe the flow in plain English and let QPilot.AI execute it. No physical device, no local lab — Flutter testing on real devices runs entirely online.
Yes. Pcloudy is a cloud Flutter app testing platform — every device is a real, hosted iOS or Android handset, not an emulator. You get the fidelity of a physical device (real GPU, sensors, network) without owning one, and the same Flutter test runs across Android and iOS in parallel.
No. QPilot.AI uses vision and the semantic tree to find widgets, so it works on any Flutter app — even without test hooks. If you already use ValueKey, those still work.
Yes. Upload your APK/IPA plus your test bundle and Pcloudy executes them on real iOS and Android devices in parallel, with full logs and video. Appium Flutter testing, flutter_driver (legacy) and integration_test all run unchanged.
Both. We capture FPS, jank-frame %, raster time and GPU stalls. Note that Impeller — Flutter's default renderer since 2023 — was designed specifically to eliminate the shader-compilation jank that affected Skia builds, so you should see far fewer first-run stalls there.
QPilot self-heals. When the widget tree shifts, the agent re-anchors using vision and semantics so flows keep passing without script edits.
Yes — Flutter web builds run on our browser cloud across Chrome, Safari, Firefox and Edge. Flutter desktop targets are not currently supported.
Yes. Pcloudy is SOC 2 compliant and runs on real iOS and Android hardware, so banking and fintech teams can validate biometric prompts (Face ID, fingerprint), OTP and 2FA flows, secure keyboard behaviour, jailbreak/root detection, and screen-recording protection — all on devices that mirror what your customers actually carry. Sessions are isolated, data is wiped between runs, and private device pools are available for regulated workloads.
Pcloudy runs Appium Flutter Driver, integration_test, Patrol, flutter_driver (legacy), and plain Appium against your APK/IPA. You can also drive flows in pure plain English with QPilot.AI — no framework required. Test bundles, APKs and IPAs upload directly or stream from your CI (GitHub Actions, GitLab, Bitbucket, Jenkins, Azure DevOps, Codemagic, Bitrise).
QPilot.AI doesn't rely on brittle ValueKey selectors. It uses computer vision plus the Flutter semantics tree to identify widgets by intent — 'the Login button', 'the OTP field' — so when your widget tree shifts after a refactor or design change, the agent re-anchors on the same target and the test keeps passing. Healing actions are logged in the report, so you can review what changed without rewriting scripts.
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