Manual application testing is time-consuming and often fails to achieve comprehensive end-to-end coverage, leading to delayed release cycles and reduced confidence in software quality. Existing automated testing solutions typically require extensive scripting and integration effort, creating a barrier to adoption.

Pie deploys autonomous AI agents that simulate human user behavior to test applications, achieving up to 80% end-to-end coverage within 30 minutes. The platform provides a clear go/no-go decision with detailed reasoning, enabling teams to accelerate release confidence. It integrates seamlessly with any technology stack by interacting with the user interface, eliminating the need for source code access or extensive setup. Users can also define custom test cases using natural language, further enhancing the flexibility and efficiency of the QA process.

AI-powered agents that mimic human user interaction for application testing.

Automated achievement of up to 80% end-to-end test coverage in approximately 30 minutes.

Natural language processing for defining custom test cases, such as "test checkout with expired credit card."

UI-based testing approach, ensuring compatibility with diverse technology stacks without requiring source code access.

Generation of a single, clear go/no-go decision with detailed reasoning for release readiness.

SOC 2 Type 2 certification for enterprise-grade security, availability, and data privacy.

The primary customers are software development teams and QA professionals seeking to improve the efficiency and comprehensiveness of their application testing processes, particularly those working with complex or diverse technology stacks.