Pie is an autonomous QA platform that uses AI agents to perform end-to-end testing on web and mobile apps. It achieves 80% test coverage in 30 minutes without requiring code, scripts, or maintenance, helping teams ship software faster with higher confidence.
Paid
How to use Pie?
To use Pie, upload your app or enter a natural language prompt describing the test scenario. The AI agents explore the UI like real users, executing tests such as adding items to a cart or verifying permissions. Results provide a readiness score for release decisions, integrating with existing tools like CI/CD and version control.
Pie 's Core Features
Autonomous AI agents simulate human behavior to perform comprehensive end-to-end testing on applications, covering various user interactions without manual intervention.
Achieves 80% test coverage in just 30 minutes by rapidly exploring app interfaces, reducing the time needed for quality assurance from weeks to minutes.
No-code testing allows users to create tests using natural language prompts, eliminating the need for scripting and making it accessible to non-technical team members.
Framework-agnostic design ensures compatibility with any technology stack, including React Native and other frameworks, by testing the UI directly.
Enterprise-grade security features include SOC 2 Type 2 certification and zero source code access, protecting intellectual property and ensuring data privacy.
Seamless integration with existing toolchains like version control, CI/CD, chat, and ticketing systems, delivering results directly into team workflows without disruptions.
Provides a single readiness score with detailed reasoning for release decisions, offering clear go/no-go guidance to streamline the shipping process.
Pie 's Use Cases
Software development teams can use Pie to automate regression testing for web apps, catching bugs early in the cycle and accelerating release schedules without manual effort.
QA engineers leverage the platform to handle UI changes automatically, reducing maintenance overhead and ensuring tests remain valid after updates.
Product managers employ Pie to validate new features quickly, using natural language prompts to test user flows and ensure functionality before launch.
Startups benefit from rapid test coverage from day one, enabling small teams to maintain high quality standards without dedicated QA resources.
Enterprises utilize Pie for scalable testing across complex applications, integrating with CI/CD pipelines to enforce quality gates in DevOps workflows.
E-commerce companies test checkout processes and cart functionalities with Pie, verifying pricing and user interactions to prevent revenue loss from bugs.
