Real Mobile Device Testing Platform
Panto AI turns flows into stable automation, run them on a curated fleet of physical Android and iOS hardware, and eliminate emulator blind spots, reduce flaky failures, and get reliable CI feedback.
Trusted by brands, across the globe
HARDWARE-ACCURATE TEST EXECUTION
SENSOR AND PERMISSION VALIDATION
NETWORK AND CONNECTIVITY TESTING
CROSS DEVICE AND OS COVERAGE
CI/CD INTEGRATION FOR REAL TEST RUNS
CRASH REPORTING AND DEVICE LOG CAPTURE
How Panto AI Enables Real Mobile Device Testing
Panto AI consolidates real-device execution, continuous testing, and observability into one workflow so teams move quality left, reduce noise, and keep releases moving with fewer manual interventions.
Hardware-Accurate Test Execution
Run automated flows on physical phones and tablets to capture behavior tied to real CPU performance, memory constraints, and touch response that emulators cannot simulate.
Sensor and Permission Validation
Test camera, microphone, GPS, accelerometer, Bluetooth, and NFC behavior on real hardware where sensor availability and permission handling differ from emulated environments.
Network and Connectivity Testing
Validate app behavior under real cellular, WiFi, and low-connectivity conditions to catch failures that only appear when network performance is unpredictable.
Cross-Device and OS Coverage
Run the same test flows across multiple real device models and OS versions simultaneously to surface device-specific regressions without manual re-testing.
CI/CD Integration for Real Device Runs
Connect real device testing to your pipeline so every build is validated on actual hardware before it reaches staging or store submission.
Crash Reporting and Device Log Capture
Every failure on a real device comes with hardware context, device logs, screenshots, and crash traces so your team can reproduce and resolve issues accurately.
How Real Mobile Device Testing Works With Panto AI
Shift quality left with real-device testing or gain visibility across your production device fleet. Panto handles the complexity mobile teams struggle with—from device orchestration and platform drift to hardware parity. Release faster with less noise and more confidence.
Connect Your App and Target Devices
Upload your mobile build and select the real Android and iOS devices you want to test against, including specific manufacturers, models, and OS versions.
Define Real Device Validation Flows
Map the user journeys with sensor-dependent features, payment flows, camera interactions, and anything that performs differently on physical devices.
Run Automated Tests on Real Hardware
Panto executes your flows on real phones and tablets, capturing hardware-specific behavior, touch response, and device logs that emulators cannot produce.
Review Device-Specific Results
Inspect crash traces, device logs, and screenshots tagged to exact hardware configurations, so your team has full context of what the device was doing when it failed.
Key capabilities of a modern real mobile device testing platform
Eight capabilities engineered for hardware-grade mobile QA, from self-healing on physical devices and fleet-wide triage to pipeline observability and MASVS-mapped evidence built for procurement reviews.
Physical Touch and Gesture Validation
Test tap accuracy, swipe responsiveness, multi-touch interactions, and gesture navigation on real touch digitizers across Android and iOS devices.
Sensor-Dependent Feature Testing
Validate camera flows, GPS-dependent features, accelerometer behavior, Bluetooth pairing, and NFC interactions on real hardware where sensor availability is genuine.
Real-World Performance Testing
Surface thermal throttling, memory pressure behavior, slow screen transitions, and app responsiveness issues that only appear under real hardware constraints.
Network Condition Testing
Test app behavior under real cellular and WiFi conditions including degraded connectivity, network switching, and offline state handling on physical devices
OEM and Manufacturer-Specific Validation
Catch hardware-level differences in how Samsung, Pixel, OnePlus, iPhone, and iPad models handle rendering, permissions, and background processes.
Battery and Background State Testing
Validate how your app behaves when the device is under battery optimization, low power mode, or processing constraints from concurrent background activity.
Visual Accuracy Across Physical Screen Hardware
Confirm UI rendering, color accuracy, and layout behavior on real OLED, LCD, and high-density displays rather than simulated screen profiles.
Local and Private Environment Testing
Run real device tests against staging builds and internal infrastructure without exposing your app publicly.
Ideal Use Cases
BUILT FOR ENGINEERING TEAMS
Built To Help Teams Ship Mobile Quality At Scale
Configurable thresholds, project-level settings, environment-specific rules, and branch-level policies that match how your team actually releases. Your cloud spend and release cadence drive the gates, not a legacy template.
Plain-English Test Creation
Describe a checkout, login, or payment flow in English and Panto turns it into a stable cloud automation, no DSL or grid config required.
Appium + Maestro in the Cloud
One scheduler over Appium and Maestro YAML against a hosted device cloud, with your existing scripts welcome on day one.
Real Device Coverage
150+ real Android and iOS devices spanning OEM skins, screen sizes, and OS versions you actually ship to.
BrowserStack & Kobiton-Class Fleet
A curated device cloud that compares to BrowserStack, Sauce Labs, Kobiton, LambdaTest, Perfecto, and TestGrid without the multi-vendor sprawl.
Logs, Screenshots & Video
On-device logcat or iOS console, screenshots, and full screen recordings attached to every failure for instant reproduction.
CI/CD-Native Triggers
Hook into GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, CircleCI, or Azure DevOps the same day you connect the repo.
Real-device quality, measured in releases
Teams turn to Panto when flaky mobile tests slow every release. We help stabilize test suites, shorten triage cycles, and reduce overhead. The result is faster, more reliable releases with less effort.
Self-healing locators absorb OEM and OS drift so a Samsung run does not fail for a reason a Pixel already passed.
Ranked failures and fleet-aware triage shrink the gap between build complete and a confident submission to App Store and Play Console.
On-device logs, recordings, RBAC, and retention policies hand security teams the audit pack they expect.
Failure clustering by device and OS replaces the morning ritual of sorting through identical red cells across many handsets.
Why Mobile Teams Choose Panto For Real Mobile Device Testing
Start with stable test creation, CI-connected execution on real hardware, and debugging artifacts that show you exactly what broke. The first value you will feel is less noise in the pipeline and fewer hours lost to triage.