Docket offers an AI-powered platform for creating and executing web application tests using natural language prompts, eliminating the need for coding. Its visual AI engine interacts with applications through a browser to identify functional issues and automatically adapt to UI changes, streamlining QA workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional web application testing requires specialized coding expertise and significant effort to maintain test suites, especially when user interfaces undergo frequent updates. This process limits broader team participation in quality assurance and can lead to delays in identifying and resolving critical user-facing bugs.
Solution
Docket provides an AI-powered platform that enables the creation and execution of web application tests using natural language prompts, eliminating the need for manual coding. Its visual AI engine interacts with web applications through a real browser, mimicking user behavior to identify functional issues and adapt to UI changes. This approach automates test maintenance, reduces the overhead associated with script updates, and democratizes test creation across development and QA teams. Docket's AI also automatically flags bugs, categorizes them by severity, and can suggest new tests for evolving features, streamlining the overall quality assurance workflow.
Target Audience
The primary target audience includes software development teams, quality assurance engineers, and product managers who need to efficiently test web applications and improve their release cycles.
Features
- Natural language test authoring interface for creating test cases without coding.
- Visual AI engine that interprets application UIs semantically and visually, similar to human testers.
- Automated test maintenance that adapts to UI modifications and suggests relevant updates.
- Real-time bug detection and classification, including critical failures, payment errors, and authentication issues.
- AI-driven test generation for new or evolving application features.
- Browser-based test execution for accurate simulation of user interactions.
- Automated test execution and actionable reporting.