Panto
Panto AI provides autonomous QA for mobile apps, using a swarm of AI agents to crawl workflows and test interactions across 150+ real Android and iOS devices. The platform automatically identifies root causes of failures, tracks app health metrics like memory and startup time, and offers self-healing test automation that repairs broken selectors in real time. It generates cross-device reports with pass rates and platform-specific error analysis, enabling zero-effort continuous testing.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Mobile app QA is traditionally manual, time-consuming, and prone to missing device-specific bugs. Testing across the fragmented Android and iOS ecosystem requires extensive device farms and script maintenance, while flaky tests and false failures block CI/CD pipelines and delay releases.
Solution
Panto AI provides an autonomous QA platform where a swarm of AI agents runs mobile apps 24/7, crawling every workflow and testing every interaction across 150+ real Android and iOS devices. The platform automatically detects failures, identifies root causes, and generates comprehensive cross-device reports with pass rates, platform-specific error analysis, and app health metrics like memory usage, startup time, and frame rate. Its self-healing agent automatically repairs broken test steps, unstable selectors, and flaky flows in real time, adapting to UI changes and device-level differences without human intervention. The system learns from patterns across runs, updates test scripts automatically, and provides a full audit trail of all healing actions.
Target Audience
Primary customers are mobile engineering teams and QA professionals at SMB and mid-market companies who need scalable, reliable automated testing across device fleets without high maintenance overhead.
Features
- Autonomous test execution across 150+ real Android and iOS devices with per-device pass rate tracking and OS-specific status indicators
- Self-healing test automation that detects UI changes, repairs locator strategies on the fly, and rewrites Appium/Maestro/YAML scripts automatically
- Cross-platform error analysis that isolates bugs to specific platforms, SDKs, or OS versions with root cause identification
- App health monitoring tracking memory, startup time, and frame rate across every run to catch performance regressions early
- Natural-language test authoring and AI-generated test flows with up to 100% coverage in under two weeks
- Configurable healing modes (Observe only, Auto heal with review, Auto heal and commit) with full audit trails including before/after selectors, screenshots, and timing deltas
- API integrations for build uploads, test flows, test suites, and test runs supporting CI/CD pipeline automation