Cloud Based Mobile App Testing Platform

Panto AI helps QA teams run mobile tests faster in a scalable cloud environment. Execute parallel Android and iOS test runs without shared-device queues or infrastructure overhead. Accelerate feedback cycles and deliver reliable releases from CI.

Cloud Based Mobile App Testing

Trusted by brands, across the globe

ON-DEMAND REAL DEVICE ACCESS

ON-DEMAND REAL DEVICE ACCESS

PARALLEL TEST EXECUTION AT SCALE

PARALLEL TEST EXECUTION AT SCALE

DISTRIBUTED TEAM ACCESS

DISTRIBUTED TEAM ACCESS

ALWAYS-CURRENT DEVICE AND OS COVERAGE

ALWAYS-CURRENT DEVICE AND OS COVERAGE

CI/CD INTEGRATION FOR CLOUD TEST RUNS

CI/CD INTEGRATION FOR CLOUD TEST RUNS

LOGS, SCREENSHOTS, AND FAILURE ARTIFACTS

LOGS, SCREENSHOTS, AND FAILURE ARTIFACTS

How Panto AI Enables Cloud Based Mobile Testing

Panto AI consolidates parallel cloud execution, observability, and governance into one platform so teams scale device coverage without scaling vendor count, support tickets, or audit risk.

On-Demand Real Device Access

Provision real Android and iOS devices instantly in the cloud without procurement cycles, hardware maintenance, or physical lab management.

Parallel Test Execution At Scale

Run the same test across your full device matrix simultaneously so a release validation that previously took a full day completes in a fraction of the time.

Distributed Team Access

Give every member of your QA product, and engineering team access to the same device environment regardless of location, without VPN or shared local hardware.

Always-Current Device And OS Coverage

Access new device models and OS versions the day they're released without waiting on hardware procurement or device lab infrastructure updates.

CI/CD Integration For Cloud Test Runs

Trigger cloud device tests automatically on every commit, pull request, or scheduled run so mobile quality is validated continuously throughout the development cycle.

Logs, Screenshots, And Failure Artifacts

Every cloud test run captures device logs, screenshots, and crash traces so your team can debug failures without needing access to the physical device.

How Cloud Based Mobile App Testing Works

Shift quality left with fast, parallel testing to gain visibility across your cloud testing infrastructure. From identifying complexity QA teams struggle with, from session orchestration and environment drift to compliance-monitoring, Reduce operational overhead and release with confidence.

Connect

Connect Your App To Panto's Cloud Environment

Upload your Android or iOS build and configure your target devices, OS versions, and test environments without touching any physical hardware.

Define

Define Your Test Flows And Device Matrix

Map the critical user journeys you need validated and select the real devices and OS combinations from Panto's cloud device pool that reflect your actual use cases.

Run

Run Tests In Parallel Across Cloud Devices

Panto executes your flows simultaneously across real cloud-hosted devices, returning results faster than any local device lab could and without queue delays.

Review

Review Results And Fix Issues Fast

Inspect device logs, screenshots, and crash traces for every failure through a shared results view your whole team can access, regardless of where they are.

Key Capabilities Of A Modern Cloud Based Mobile Testing Platform

01

Real Device Cloud Testing For Android And iOS

Access cloud-hosted real phones and tablets across thousands of manufacturers and iPhone and iPad models without managing any physical devices.

02

Parallel Execution Across Device And OS Configurations

Run tests across your full device matrix simultaneously so a release validation that previously took a full day completes in a fraction of the time.

03

Instant Access To New Devices And OS Versions

Test against brand-new and old OS releases the day they're released without waiting on vendor provisioning or internal library update cycles.

04

Shared Environment For Distributed Teams

Every team member, QA or engineer, or in-progress app configuration will have a comparable test build so results are comparable regardless of time zone or role.

05

Scalable Regression Coverage

Expand total coverage across more devices and OS versions without adding headcount, hardware, or maintenance to your overhead.

06

Integrated Failure Artifacts And Debug Context

Every test failure logs, screenshots, screen recordings, and network logs are collected in Panto's debugging portal so your team doesn't require physical access to the device that failed.

07

Secure Private App Testing In The Cloud

Run builds on isolated, staging environments, and secure cloud infrastructure with strict access control without exposing your app to the public internet.

08

CI/CD-Native Cloud Test Execution

Trigger cloud device tests automatically on every commit, pull request, or scheduled run so mobile quality is validated continuously throughout the development cycle.

Ideal Use Cases

Series B FinTech consolidating three device cloud vendors into one bill
Enterprise SaaS retiring an in-house lab in favor of elastic cloud pools
High-growth consumer apps running parallel runs during release weeks
Marketplace teams shipping daily builds across multi-region cloud pools
Mobile-first startups skipping the on-prem lab and starting cloud-first
Repackaged product teams running cloud QA inside their own Azure or AWS
Distributed engineering orgs needing region-pinned cloud sessions
Teams validating builds across cloud-hosted vendor and SIM profiles

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

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

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.

Federated

Federated Device Cloud

Bring AWS Device Farm, Firebase Test Lab, BrowserStack, Sauce Labs, Kobiton, LambdaTest, Perfecto, or TestGrid pools under one Panto workflow.

Elastic

Elastic Parallel Execution

Burst to hundreds of concurrent cloud sessions for a release, then scale back without paying for idle racks the rest of the month.

Session Logs

Session Logs, Screenshots & Video

Cloud-side logs, screenshots, and full session recordings attached to every failure for instant remote reproduction.

CI/CD Native

CI/CD-Native Triggers

Hook into GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, CircleCI, or Azure DevOps the same day you connect the repo.

Cloud Mobile Quality, Measured In Releases Your Team Trusts.

Teams choose Panto when mobile testing becomes too complex and time-consuming. We unify device testing, reduce operations overhead, and simplify releases.

38%
Lower Flake across cloud pools

Self-healing testers always session-rescheduling as a rule in a workflow does not fail by a reason a rhythm does but already passes.

3x
Faster cloud regression cycles

Sharded parallel execution shrinks an overnight cloud regression into a coffee-break window and frees up the release manager to ship sooner.

1 day
Time to cloud audit evidence

Session recordings, region-pinned logs, RBAC, and retention policies form a security teams the cloud audit pass they expect.

60%
Less vendor spend per release

Consolidating fragmented device cloud vendors, saas jobs, tables, and Buildkite releases into one cloud cost dashboard, core both devices count and idle capacity.

Why Mobile Teams Choose Panto For Cloud Based Testing

Get from test creation to root-cause analysis in a single workflow. Panto surfaces the evidence behind every failure, from logs and screenshots to execution context. The result is faster debugging, less triage overhead, and a more reliable CI pipeline.

Book a demo to see Panto's cloud mobile device testing in action.

FAQ's

Panto AI turns plain-English test flows into stable mobile tests, then runs them across real devices and CI/CD pipelines so teams can catch regressions earlier. It is designed to reduce flaky selectors, minimize false positives, and eliminate the maintenance burden that usually comes with traditional mobile UI automation.
Panto AI integrates with GitHub, GitLab, Bitbucket, Azure DevOps, Slack, generic APIs, and popular CI/CD systems. Setup is designed to be fast, allowing teams to get started in as little as 60 seconds with the free plan and begin running automated mobile tests immediately.
Panto AI uses intelligent selector repair, self-healing automation, contextual debugging, and AI-powered root cause analysis to make test suites more reliable over time. Its deterministic, self-healing, and CI-native approach helps reduce flaky tests while avoiding unnecessary false positives.
Most teams see value after their first stable automated test run replaces a manual smoke test or unreliable regression suite. The free plan includes 15 test flows, 50 minutes of real-device execution, and unlimited local test runs, making it easy to start validating applications quickly.
Panto AI's free Go plan includes 15 test flows, 50 minutes of real-device execution, unlimited local test runs, dynamic variables, AI-powered root cause analysis, intelligent reporting, Slack alerts, Appium and Maestro support, API integrations, and database integrations. Pricing scales to the Scale plan at $999/month, with enterprise deployments available for organizations requiring higher execution capacity, greater parallelism, and custom infrastructure.
Panto AI is ISO/IEC 27001:2022 certified and is pursuing SOC 2 Type II attestation. It aligns with GDPR, CCPA, and Cert-In compliance requirements while supporting deployments on AWS, Azure, GCP, private cloud, or on-premises infrastructure. Panto AI also follows a zero code retention policy, ensuring customer source code is never stored.
Manual testing struggles to keep pace with frequent mobile releases, while traditional automation frameworks often require significant maintenance and are prone to flaky tests. Panto AI reduces maintenance through AI-powered automation, accelerates debugging with intelligent root cause analysis, and keeps quality checks seamlessly integrated into modern CI/CD pipelines.
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