Mobile App Testing Platform

Panto AI is the mobile app testing platform for QA leaders and engineering teams tired of brittle selectors, noisy failures, and slow CI feedback. Turn flows into stable mobile automation and ship faster with less maintenance.

Mobile App Testing

Trusted by brands, across the globe

CROSS-DEVICE APP VALIDATION

CROSS-DEVICE APP VALIDATION

FUNCTIONAL FLOW TESTING

FUNCTIONAL FLOW TESTING

CRASH DETECTION AND REPRODUCTION

CRASH DETECTION AND REPRODUCTION

APP STATE AND SESSION TESTING

APP STATE AND SESSION TESTING

THIRD-PARTY AND API INTEGRATION TESTING

THIRD-PARTY AND API INTEGRATION TESTING

RELEASE READINESS VALIDATION

RELEASE READINESS VALIDATION

How Panto AI Enables Mobile App Testing

Panto AI brings mobile app testing, continuous testing, and test observability into one workflow so teams move left, reduce noise, and keep releases moving with fewer manual interventions.

Cross-Device App Validation

Test your application across the device and OS combinations your users actually run on, not just the ones your development team owns.

Functional Flow Testing

Validate critical user experiences such as login, search, onboarding, form submission, navigation, and checkout across every supported configuration.

Crash Detection And Reproduction

Automatically identify crashes during execution and reproduce them against specific devices and operating system combinations for faster debugging.

App State And Session Testing

Verify how your application behaves during backgrounding, session expiration, interrupted flows, and state restoration across supported platforms.

Third-Party And API Integration Testing

Validate interactions with external APIs, payment providers, authentication services, analytics SDKs, and native integrations throughout the user journey.

Release Readiness Validation

Run a structured set of quality checks before every release to confirm the build meets performance, stability, and store submission requirements.

How Mobile App Testing Works

Shift quality left into development, or manage testing as an observable system. Panto automates selector repair, intelligent triage, real-device execution, and pipeline-aware reporting so teams can release with confidence.

Upload

Upload Your App Build

Upload your mobile build, connect your environment, and define the user journeys you need to protect, from signup through checkout.

Define

Define The Flows That Matter

Map the critical user journeys such as account creation, core features, purchases, and any workflows essential in production.

Run

Run Tests Across Real Devices

Execute your flows across real devices and emulators simultaneously, surfacing failures with the exact device, OS, and screen context attached.

Fix

Fix Issues Before They Ship

Review crash traces, screenshots, and logs for failures in one place so your team resolves issues before the build reaches staging or production.

Key Mobile-First Features Of Mobile App Testing

From self-healing selectors and ranked failure triage to real-device coverage, plain-English authoring, and audit-ready evidence, each feature is designed to take maintenance load off QA and put trustworthy signal back into the pipeline.

01

Onboarding And First-Run Flow Testing

Validate signup, permissions, onboarding screens, and first-session behavior across device types and operating system versions.

02

Payments And Checkout Validation

Verify transaction flows, payment screens, and post-purchase states across supported devices and OS versions before they reach customers.

03

App State And Session Handling

Test how your application recovers from backgrounding, interrupted sessions, session expiry, and forced restarts across Android and iOS.

04

Deep Link And Push Notification Testing

Confirm deep links resolve correctly and push notifications route users to the intended in-app destination across supported mobile devices.

05

Gesture And Interaction Testing

Catch layout shifts, broken gestures, and interaction issues across touch screens before they appear in production reviews or app store feedback.

06

Visual Regression Checks

Catch layout shifts, rendering inconsistencies, and UI regressions across screen sizes before they appear in app store reviews or customer feedback.

07

Store Submission Readiness Checks

Run automated validation for permissions, critical user journeys, and release readiness before every App Store and Google Play submission.

08

Local And Private Environment Testing

Test against staging builds and internal infrastructure without exposing your application or APIs to the public internet.

Ideal Use Cases

Series B FinTech with weekly releases
Enterprise SaaS with 500+ engineers
High-growth consumer apps shipping daily
Marketplace teams under sub-10 minute release windows
Mobile-first startups replacing brittle Appium scripts
Regulated product teams under audit pressure
Healthcare apps with GDPR and privacy requirements
Quick-commerce apps consolidating fragmented testing stacks

BUILT FOR ENGINEERING TEAMS

Ship Mobile Quality Without Slowing Down

Define custom quality gates with configurable thresholds, environment-specific policies, and branch-level controls. Align testing requirements with your release workflow so your quality strategy supports delivery instead of creating friction.

Plain English

Plain-English Test Creation

Turn user flows into mobile tests without writing or maintaining brittle scripts.

Appium

Appium + Maestro Support

Work with the frameworks mobile teams already know instead of rebuilding the testing stack.

Real Devices

Real Device Coverage

Validate behavior across Android and iOS devices, not guesses from emulators alone.

Scheduled

Scheduled Test Runs

Trigger regression suites on a schedule so quality checks happen before release day, not after.

Logs

Logs, Video, and Reports

QA and engineering get the artifacts they need to reproduce failures quickly and confidently.

CI/CD

CI/CD-Native Triggers

Connect mobile CI to GitHub Actions, GitLab CI, Jenkins, Bitrise, and Google Cloud Build workflows.

Stable Mobile QA, Measured In Releases, Not In Retries.

Teams come to Panto AI because they spend too much time fighting flaky tests, not little time shipping. Once the suite stabilizes and triage gets shorter, the difference shows up in every release.

38%
Lower flaky-test rate

Self-healing selectors absorb normal UI changes so regression suites stop failing for the wrong reasons.

3x
Cleaner CI signal

Ranked failures and noise reduction mean engineers spend less time asking whether the test or the application is broken.

1 day
Time to first audit trail

Logs, screenshots, video, and access controls provide security and compliance teams with a dependable audit record from day one.

70%
Less manual triage

Failure clustering and automated alerts replace the morning ritual of sorting through hundreds of failed test runs.

Why Mobile Teams Choose Panto for Mobile App Testing

Manual testing cannot keep up with frequent mobile releases, and generic frameworks shift the maintenance burden back onto QA and SDET teams. Panto AI reduces flake, speeds triage, and keeps quality checks attached to the delivery pipeline.

Book a demo to see Panto’s mobile app testing in action.

FAQ's

Panto AI turns plain-English flows into stable mobile tests, then runs them across devices and CI pipelines so teams can catch regressions earlier. It is designed to reduce flaky selectors, false positives, and the maintenance burden that usually comes with mobile UI automation.
Panto AI connects to CI triggers, pull requests, Slack-based triggers, webhooks, API calls, GitHub, GitLab, Bitbucket, Azure DevOps, and self-hosted deployment environments. Its setup experience is designed to let teams begin running automated mobile tests in minutes rather than weeks.
Panto AI uses AI-powered selector suggestions, auto-repair, intelligent failure triage, and contextual debugging to make test suites more resilient over time. This reduces failures caused by UI drift while helping teams focus on genuine application issues instead of flaky tests.
Most teams see value after replacing their first manual smoke test or flaky regression suite with a stable automated workflow. Panto AI emphasizes fast onboarding, deterministic execution, and immediate debugging artifacts such as logs, screenshots, and video recordings.
Panto AI offers flexible plans that scale with automation usage. The platform supports multiple testing frameworks, API integrations, database integrations, one-click scheduling, and real-device execution, allowing organizations to expand testing capacity as their applications and release frequency grow.
Panto AI is ISO/IEC 27001:2022 certified, is progressing toward SOC 2 Type II attestation, aligns with GDPR and CCPA requirements, and supports on-premises deployments. Storage, retention policies, and source-code handling depend on the chosen deployment model, so organizations can review the latest security documentation for their environment.
Manual testing cannot keep pace with modern mobile release cycles, while traditional automation frameworks often create significant maintenance overhead. Panto AI reduces flaky tests, accelerates failure triage, and keeps quality validation integrated directly into the delivery pipeline instead of relying on separate manual testing workflows.
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