QApilot is an AI-powered mobile testing platform that automates app exploration, regression testing, and security analysis across Android, iOS, and Flutter. It uses autonomous crawling, self-healing locators, and dual-device orchestration to reduce manual QA effort and accelerate release cycles.
Funding
Funding not disclosed
Founders
Product
Problem
Mobile app testing is often manual, time-consuming, and prone to coverage gaps, especially as release cycles shorten and app complexity grows. Traditional automation tools require constant script maintenance, struggle with Flutter and cross-device workflows, and fail to surface critical issues like accessibility or performance problems before release.
Solution
QApilot delivers an AI-driven mobile testing platform that automates the entire QA lifecycle, from exploratory crawling to release readiness assessment. Its autonomous crawler builds a live Knowledge Graph of app flows, enabling zero-touch sanity testing without scripts or setup. The platform also includes CoWork, which converts existing natural-language test cases into runnable automation, and a dual-device testing engine that orchestrates synchronized workflows across two devices for real-world transaction validation. QApilot's self-healing engine uses a multi-layer fallback system to recover from UI changes in real time, while its Release Readiness Suite automatically detects accessibility, latency, stability, and security issues, mapping each finding to the exact screen with actionable fix recommendations.
Target Audience
Primary customers are mobile engineering and QA teams at enterprises and product companies shipping Android, iOS, or Flutter apps, particularly those in commerce, messaging, and field-force industries requiring cross-device workflow validation.
Features
- Autonomous mobile app crawler that builds a live Knowledge Graph for zero-touch sanity testing of critical flows
- CoWork AI that imports test cases from Jira, TestRail, or spreadsheets and converts them into executable BDD context without new scripts
- Dual-device testing with dependency-aware orchestration, cross-session state management, and step-level synchronization for multi-device transactions
- Multi-layer self-healing engine (Element ID, XPath, Visual Matching, Coordinate Fallback) that recovers from UI changes and flags healed steps as "AI Assisted"
- Release Readiness Suite that detects accessibility violations, tap target issues, latency problems, unstable states, and security risks (permissions, network, code patterns, trackers)
- Device metrics capture for CPU, memory, battery, and network signals tied to specific steps and screens
- CI/CD pipeline integration with execution reports showing healed steps, issue context, and failure attribution