Docket

Docket provides AI-driven QA testing across mobile, web, and desktop platforms, using an AI-enhanced, pixel-perfect approach to self-heal and adapt to UI changes without manual scripting. It aims to reduce flaky tests and speed up test creation and execution with an adaptive, one-platform framework.

Docket records and replays user interactions by capturing exact screen coordinates rather than relying on selectors, enabling testing of canvases, iframes, popups, and other non-standard elements. It self-heals when UI elements move or change (e.g., button positions, ordering). It uses AI to handle dynamic flows and uncertain steps in real time, allowing randomization of interactions and navigation through changing UI states. The platform supports end-to-end testing with features like deterministic recording, adaptive self-healing, AI-driven steps, CI/CD integration, and notifications, aiming to run scalable test suites with minimal scripting.

Who it’s for: Companies needing automated QA across mobile, web, and desktop with frequent UI changes and non-standard elements, especially teams aiming to reduce manual scripting and flaky tests.

Customers: eXp Realty, Centerpoint Connect, Nest Genomics

Hiring and active customer case studies; enterprise traction with multiple named customers and mentions of accelerated release cycles