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Autonomous QA For Mobile Apps Across 150+ Real Devices

A swarm of agents runs your app 24/7, crawling every workflow, testing every interaction, and surfacing what works, what breaks, and what needs improvement with zero human effort.

Trusted by brands, across the globe

Stable Money
Pathfndr
InfinID
PvX Partners
KoinWorks
99.co

One report. Every device. Both platforms.

Pulled from a run across 150+ real Android and iOS devices, with the root cause already worked out, not just a pass or fail.

Cross-device

Tested on the phones your users actually carry

Not one emulator. These are 8 of the 150+ real device and OS combinations we run every release, so a Pixel-only crash never reaches a release looking like a clean pass.

Pass rate by device × OS

DeviceOSTests runPass rateStatus
Pixel 9Android 14788
34%
Problem
Pixel 9Android 15312
82%
Stable
OnePlus 11Android 13768
45%
Watch
Galaxy S23 UltraAndroid 13665
46%
Watch
Galaxy S24Android 14230
51%
Watch
Pixel 10 Pro XLAndroid 14662
44%
Problem
iPhone 16 ProiOS 1891
79%
Stable
iPhone 17 ProiOS 2660
73%
New device
iOS vs Android

Catches the bugs that only show up on one platform

163 errors this week, every one of them on Android. The same flows pass on iOS, which points straight at an SDK or OS issue instead of a code review.

Platform split

Android

43%

4,205 tests · 163 errors

iOS

59%

151 tests · 12 errors

Worst combo

Pixel 9 · A14

34% pass

Best combo

iPhone 16 · iOS 18

79% pass

Pass and fail

A number for every release decision, not just a percentage

Stability score, pass rate, and bugs caught update after every run, so "are we ready to ship" has an answer before someone has to ask.

Stability score

84

▲ +11 vs prev week

Pass rate

43%

▼ -4% vs prev week

Bugs detected

37

0 in production

AI-authored flows

312

▲ +14 vs prev week

Consistently failing

3

5+ consecutive runs

Flaky flows

4

Pass-fail pattern

Resolved this week

9

Within 48h SLA

Avg detection time

23 min

▼ -41 min vs prev week

App health

Watches the app, not just the test script

Memory, startup time, and frame rate get tracked across every run, so a slow leak shows up days before a user ever files a complaint.

Memory regression across the last 5 runs

242MB to 302MB, a 25% increase, while FPS and crash rate stay flat.

Aggregated across all devices this period

Cold startup

2,475ms

+13%

Hot startup

143ms

Stable

Max memory

302MB

+24%

Avg memory

285MB

+18%

Max CPU

30.5%

-2%

Avg FPS

37.9

Stable

Freeze frames

2.1%

+0.4%

Janky frames

1.8%

Normal

Battery / session

0.7%

Stable

Network DL

133KB

Normal

App crashes

0

None

ANR events

0

None

Memory trend

R1
R2
R3
R4
R5

CPU trend

R1R5

Cold startup time

R1
R2
R3
R4
R5

Automate Mobile Workflows at Production Scale

Turn feature descriptions into stable mobile tests that run the same way every time.

Automated Test Case

Understands natural language and your org context. Generates smart test cases automatically.

Reports

Get step-by-step debug reports with logs, videos, and screenshots — delivered to Slack or your dashboard.

Self-Healing

No manual updates needed. The agent adapts to UI changes, updates test cases automatically, and keeps you informed.

Speed

Create, execute and run mobile test cases in natural language. Instant test reports just like human, but better.

Everything After Vibe Coding

Panto AI QA brings expert, AI-driven testing to every sprint. Ensure quality at scale and ship with confidence.

  • checkmarkExplain test cases in natural language
  • checkmarkCreate automated test cases in Maestro and Appium in minutes, not days
  • checkmarkRun scripts on device farms with zero AI hallucinations

Your Code,Your Data— FullySecure

Security Badge

Infrastructure that meets ISO Standards

Security Badge

Panto AI is undergoing Soc2 Type 2 attestation and undergoes annual audits

Security Badge

Cert-in compliance certified

Security Badge

On-Premise Compatible

FAQ's

Vibe Debugging is a new way to identify and fix issues in software by understanding the behavioral patterns and intent behind the code, not just its output or errors. Instead of relying solely on logs or stack traces, it observes how different parts of the system interact, detects when something “feels” off, and points developers to the root cause. It’s a more contextual and human-like approach to debugging — helping teams catch issues that traditional tools often miss.
The Panto AI Vibe Debugging platform is an end-to-end test solution for mobile apps, seamlessly combining Dynamic Code Reviews (full codebase understanding), Code Security (30,000+ SAST checks, IaC, secret detection), and QA Automation. It ensures faster, smarter, and more reliable mobile app delivery without manual overhead.
  • Understand requirements in natural language or automatically generate test cases tailored to your organization’s context.
  • Execute tests on real devices or emulators.
  • Automated tests run across multiple devices and frequencies in a fraction of the time.
  • Self-heal broken automations when the UI changes — remapping journeys, adapting to updates, and providing feedback automatically.
Yes, anyone can use Panto AI QA, but the platform is primarily designed with Quality Assurance engineers and developers in mind. Non-developers can leverage Panto AI to run tests, view reports, and monitor app quality without deep coding knowledge. However, certain advanced features like dynamic code reviews, security scans, or test case customization may require basic technical understanding. Overall, Panto AI makes mobile app QA more accessible while still providing the depth and precision that technical teams need.