Skip manual case‑writing, input requirements directly. TestAgent generates test cases and analyzes test outcomes. Deliver defect lists and iterate test assets. Cut manual effort on case creation & maintenance.
Complete full-process AI testing tasks with a single sentence
Testing can be launched via natural language chatting and document uploading. It supports model switching, exclusive test skill packages and historical task backtracking, accessible for personnel with zero foundation.
Upload PRDs and API documents to disassemble business function points, generate standardized test cases and sort out verification rules for API and page fields with one click.
Automatically generate automated test scripts for APIs, UI and APPs covering normal, abnormal and boundary scenarios. The scripts can be directly connected to the TestOne execution engine without secondary modification.
Automatically verify business rules, detect test coverage and traverse enumerated values. After test execution, AI locates error causes, creates defects with one click and optimizes scripts automatically for retesting.
Test cases and scripts generated by AI are automatically archived. The system links test plans, resource scheduling, scheduled tasks and CI/CD pipelines to continuously accumulate and reuse enterprise test assets.
Differentiated from ordinary AI testing tools, it realizes a closed loop from AI design to actual deployment and execution.
Different from pure generative AI tools, relying on the mature execution capability of TestOne, test contents designed by AI can directly schedule real devices and execution machines to carry out tests, truly forming a complete chain of "generation-execution-review".
Proficiency in programming and test frameworks is not required. Manual testers and business staff can build automated regression systems through dialogue interaction.
Take over repetitive work including document sorting, test case writing, basic script development and log troubleshooting, allowing testers to focus on high-value quality risk control.
Supports private local deployment of large models and the whole platform. Business data and test files are stored in the internal network throughout the whole process, suitable for highly compliant industries such as finance and government affairs.
Accumulate exclusive enterprise test assets, and the AI keeps adapting to internal business logic for continuously improved iteration efficiency.
To save a lot of repetitive and tedious manual work and increase the efficiency of performance testing.
Labor costs for version regression cut by over 50%; the test preparation cycle is shortened from days to hours.
AI supplements boundary and abnormal test scenarios, elevates test coverage and reduces escaped defects online.
Connects with CI pipelines to support rapid automated regression amid high-frequency iterations.
We've helped companies just like yours accelerate with confidence
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