Track 60+ metrics — CPU, memory, battery, network, frame rates — on 5,000+ real Android & iOS devices. AI-powered regression detection, zero SDK required.
60+
Metrics tracked
Real-time collection
< 3 sec
Device connection
Any device, any time
5,000+
Real devices
iOS & Android
ML-Powered
Anomaly detection
Root cause analysis
99.9%
Platform uptime
SLA-backed
App stores are ruthless. Users don't file bug reports for slow apps — they uninstall them.
Slow launch times, janky scrolling, and unresponsive taps destroy retention — and you can't fix what you can't measure.
CPU throttling, battery drain, thermal limits, and network variability only show up on real hardware. Emulator metrics are misleading.
Without automated baselines and regression detection, teams don't know a release degraded until users complain — or churn.
Track 60+ real-device metrics — frame rates, memory leaks, battery drain — so you see exactly what your users see.
5,000+ real Android & iOS devices with real CPUs, GPUs, and radios. No emulator shortcuts, no false confidence.
ML-powered anomaly detection compares every build against baselines and flags degradations automatically in CI/CD.
Whether you're a 5-person startup or a Fortune 500 enterprise, if your app's performance affects revenue or retention — this is for you.
Fintech, e-commerce, ride-hailing, food delivery — any app where slow = lost revenue.
Banking apps, shopping apps, streaming platforms
Teams that need automated performance baselines, regression detection, and CI/CD-integrated reporting.
Manual testers, SDET teams, QA leads
Developers who need to pinpoint which code change caused a memory leak, CPU spike, or battery drain.
Mobile devs, platform engineers, release managers
Healthcare, finance, and government apps that must meet strict SLA and compliance requirements.
HIPAA apps, PCI-DSS, government portals
How to test mobile app performance with Pcloudy — from upload to actionable insights in minutes.
Drag and drop your APK or IPA — no SDK, no agents, no code changes required.
Choose from 5,000+ real Android and iOS devices. Metrics capture automatically.
Review 60+ metrics in real-time dashboards. AI flags regressions and surfaces recommendations.
Pcloudy's mobile application performance monitoring engine captures every signal that matters — from CPU frequency to battery drain — while your app runs on real devices. No SDK required.
AI powered app performance testing that goes beyond dashboards — ML models detect anomalies, identify root causes, and classify issues in real time.
Merge all performance data into a single, interactive timeline. Correlate CPU spikes with network calls, memory leaks with UI jank.
Mobile performance testing results vary wildly across devices. Run device performance testing where your users actually are.
Emulators hide the performance issues your users will feel. Capture genuine hardware behavior — thermal throttling, battery drain, and memory pressure.
Run mobile app performance testing alongside your existing test suite — Appium, Espresso, XCTest, Selenium, and more. Zero migration.
Cross-platform mobile automation
Native Android UI testing
Native iOS UI & unit testing
Web & hybrid app testing
Modern browser automation
Flutter app testing
Mobile UI flow testing
REST API for any framework
Performance data stays protected with SOC 2, ISO 27001, and GDPR compliance.
Audited controls for data handling
Dedicated environments per customer
Public cloud, private cloud, or on-prem