Mobile Automation Testing Platform
Panto AI brings mobile app testing, continuous testing, and test observability into one workflow so teams can move left, reduce noise, and keep releases moving without adding maintenance debt.
Trusted by brands, across the globe
AUTOMATION
REAL DEVICE AND EMULATOR COVERAGE
AUTOMATED REGRESSION TESTING
CI/CD INTEGRATION
PARALLEL TEST EXECUTION
CRASH REPORTING AND FAILURE ANALYSIS
How Panto AI Enables Mobile App Testing
Instead of duct-taping Appium scripts to homemade dashboards, teams get a single platform that handles test creation, CI-aware execution, debug artifacts, and release-readiness signals. Purpose-built for Android and iOS.
Automation
Panto automates the mobile workflow your team validates manually today, so nothing critical gets missed between sprints.
Real Device And Emulator Coverage
Test on real devices and emulators for practical coverage. Use emulators for fast feedback during development.
Automated Regression Testing
Protect login, checkout, deep links, and navigation with automated checks that run whenever code changes, not just before major releases.
CI/CD Integration
Connect mobile pipelines so every build is validated before it ships, whether via triggers, pull requests, or scheduled runs.
Parallel Test Execution
Run tests simultaneously across Android and iOS versions, device models, and configurations. Shrink test cycles from hours to minutes without sacrificing coverage.
Crash Reporting And Failure Analysis
Every failure includes logs, screenshots, and context so teams spend less time reproducing issues and more time fixing them.
How Automated Mobile Testing Works
Move away from fragile manual testing. Panto lets teams create automated mobile tests in plain English or bring existing frameworks into one workflow. Faster feedback, fewer flaky tests, reliable device coverage, intelligent orchestration, automated failure triage, and pipeline-aware reporting.
Connect Your App And Test Flows
Upload your mobile build, connect your environment, and define the user journeys you need to protect, from signup through checkout.
Choose Devices And Configurations
Select Android and iOS versions, device models, and test conditions that reflect your production release.
Run Automated Tests At Scale
Execute flows across real devices and emulators in parallel for faster, broader coverage without expanding your QA team.
Review Results And Resolve Issues
Inspect logs, screenshots, and videos from every failure. Your team gets the context they need to fix issues fast and keep releases moving.
Key Mobile-First Features Of Mobile Automation Testing
From self-healing selectors and ranked failure triage to real-device coverage, plain-English authoring, and audit-ready evidence, every feature is designed to take maintenance load off QA and put trustworthy signal back into the pipeline.
Real Device Testing With Android And iOS Coverage
Validate behavior on real Android and iOS devices together with emulators so your automation covers both platforms with confidence.
Login And Onboarding Automation
Protect first-time user experiences with reliable automated tests for signup, sign-in, and onboarding flows so regressions don't reach production.
Payments And Checkout Validation
Verify transaction flows, payment screens, and post-purchase updates across device models and operating system versions before every release.
Gesture And Interaction Testing
Automate taps, swipes, scrolls, long-presses, and navigation flows to validate how your application behaves under real interaction patterns.
Visual Regression Checks
Catch layout shifts, rendering issues, and UI inconsistencies across screen sizes before they appear in production releases or app store feedback.
Performance-Aware Mobile Testing
Surface slow screens, unexpected waits, and performance-driven automation failures before they affect users.
Local And Private Environment Testing
Run tests against staging builds, local environments, or internal infrastructure without exposing your application publicly.
Accessibility & Mobile Heuristics
Check essential mobile accessibility behavior so your application works for every user and aligns with platform quality guidelines.
Ideal Use Cases
BUILT FOR ENGINEERING TEAMS
Ship Mobile Quality Without Slowing Down
Custom quality gates, configurable thresholds, environment-specific rules, and team-wide workflow hooks let your test strategy fit your release process instead of fighting it.
Custom Quality Gates
Configure thresholds and branch-level policies that your release process actually follows, not a generic template.
Team-Wide Workflow
Native GitHub, GitLab, Bitbucket, Jira, Confluence, and Slack integrations keep every stakeholder aligned.
Test Observability
Runtime health, failure patterns, and recovery metrics give your team a full release dashboard.
Real-Time Pipeline Feedback
Get results while the pipeline runs, not after the release would have already started.
Audit-Ready Evidence
SOC 2 audit reports, OWASP MASVS alignment, and verifiable execution artifacts for compliance reviews.
Scale Ready
Handle larger regression suites without turning every release into a maintenance event.
Stable Mobile QA, Measured In Releases, Not In Retries.
Panto AI was built to remove the three things that slow mobile releases: brittle automation, noisy CI signals, and triage that asks engineering to guess instead of act.
Self-healing selectors absorb normal UI churn so regression suites stop failing for the wrong reasons.
Ranked failures and grouped root cause analysis help engineers find the next fix dramatically faster.
Connect a repo, point at a flow, and start receiving deterministic mobile test results in minutes.
Logs, screenshots, and video on every failure mean release sign-off decisions stop being guesswork.
Why Mobile Teams Choose Panto for Mobile Automation Testing
Start with stable test creation, CI-connected execution, and debugging artifacts that show you exactly what broke. The first value you'll feel is less noise in the pipeline and fewer hours lost to triage, usually within the first sprint after connecting your repo.