AI Agents
Across Every Testing Stage

Let our AI agents handle your entire testing lifecycle - from autonomous test creation to intelligent test analytics - while your team focuses on innovation.

Unifying Multiple AI Techniques for
Superior Testing Impact

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QPilot

Gen AI based Auto Code Generator

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QHeal

AI based model to detect changes

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QLens

AI based auto detection Of UI Changes

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QObserve

Anomaly Detector

ALFY

Gen AI Pcloudy Action Bot

AI CoPilot for Autonomous Testing
Our Co-Pilot (QPilot) functions just like a human test automation engineer. As you converse with it to provide test scenarios or descriptions, it creates test automation code that can be executed. This empowers less technical testers to automate complex applications and reduces coding errors.
Android app testing online
Self Healing Mechanism
When element discrepancies occur,Pcloudy goes beyond merely reporting a failure. It employs QHeal, an advanced self-healing mechanism, to automatically adapt by identifying alternative selectors or using relative positioning strategies. This ensures that your test scripts remain robust and continue to function correctly, even as your application's evolves.
Android app testing tool
Intelligent Visual Testing
With Visual AI (QLens), you can automatically detect visual defects on every commit, across all devices and screen sizes. Each time code is pushed, QLens captures screenshots from selected devices and compares them against a baseline to identify any visual inconsistencies. This intelligent visual comparison ignores minor rendering issues, ensuring that only significant visual defects are flagged.
Android app testing
Smart Anomaly Detection
Pcloudy's Anomaly Detector (QObserve) provides advanced real-time analysis of your test executions, delivering immediate insights and alerts. By identifying issues instantly and offering proactive alerts on critical test failures and irregularities, QObserve ensures no issue goes unnoticed. It also enhances team collaboration by sharing real-time insights, facilitating faster decision-making and improving overall test efficiency.
Android apps testing
Pcloudy Gen AI Assistant
Our Pcloudy Gen AI Assistant (Alfy) is designed to be your go-to Appium and device assistant. It provides essential information such as Appium capabilities and the available list of devices on Pcloudy, ensuring you have the support you need, whenever you need it.
Android apps testing

More Reasons to Trust Pcloudy

Seamlessly Integrates With Your Ecosystem

See All Integrations
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A Secured Enterprise-Grade Platform

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Enterprise Level Governance

Human in the Loop

Pcloudy employs a human-in-the-loop approach, integrating human reviewers to validate outputs and provide feedback, ensuring high standards of accuracy and continuous improvement in AI models.

Data Privacy & Security

Pcloudy ensures data security and privacy by not using customer data for AI training without explicit consent. Data is sent to secure, compliant servers and protected with advanced encryption. All processes comply with GDPR and other data protection laws.

Responsible & Unbiased AI

Pcloudy ensures ethical AI use by conducting continuous ethics reviews to eliminate biases and harmful outputs. AI impact assessments are mandatory before deployment, and governance processes track AI algorithms and label datasets to ensure accountability and fairness from the start.  

Transparency

Pcloudy's AI models feature built-in explainability for transparency, provide clear disclosures on data and AI usage, and maintain robust feedback mechanisms to report AI practice concerns, ensuring continuous improvement and ethical alignment.

Accountability

Pcloudy's AI Governance Board ensures regulatory compliance, ethical standards, and infrastructure security. Post-deployment remediation processes address any negative AI impacts promptly. Mandatory AI ethics training for engineers and product managers embeds ethical considerations throughout AI development.

Frequently asked questions

Pcloudy's AI-powered testing agents provide comprehensive coverage across every testing stage, from autonomous test creation to intelligent analytics. The platform uses multiple AI testing techniques including QPilot, QHeal, QLens, and QObserve to handle your entire testing lifecycle automation.

QPilot, Pcloudy's AI test automation tool, functions like a human test automation engineer. It uses intelligent automation to create test scripts from natural language descriptions, enabling less technical testers to automate complex applications with its AI-powered test generation capabilities.

QHeal is an AI-based test maintenance solution that automatically adapts to UI changes. This intelligent test healing mechanism identifies alternative selectors and positioning strategies, reducing test maintenance efforts by automatically fixing broken test scripts through AI-driven test repair.

QLens uses Visual AI to automatically detect visual defects across devices and screen sizes. This intelligent visual testing tool captures screenshots and compares them against baselines, using AI-powered visual verification to identify significant visual inconsistencies while ignoring minor rendering issues.

QObserve provides AI-powered test analytics and real-time automated anomaly detection. This intelligent monitoring system delivers immediate insights on test executions, offering proactive alerts on critical failures and enhancing team collaboration through AI-driven test insights.


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