Queay - 2026 Pricing, Features, Reviews & Alternatives

Queay is a cloud-based QA platform that consolidates manual testing, test management, UI test automation, API testing, non-functional testing, mobile testing, CI/CD execution, and AI-assisted testing into a single workflow. Designed for QA engineers, software testers, developers, QA leads, and engineering teams, it eliminates the need to switch between separate tools for test case management, automation, and reporting. Queay supports teams ranging from solo users on a free trial to startups and larger teams of up to 25 users, making it suited for fast-moving software development organizations.

Test creation is available through no-code and low-code approaches. The UI automation module offers a no-code step builder with self-healing selectors that resolve target elements from page context at run time, running on real browsers via Playwright. Optional low-code escape hatches include custom scripts and BDD scenarios. The API automation module accepts Postman collections or cURL imports, provides a no-code scenario builder, and supports on-demand, scheduled, or CI/CD-triggered runs. Non-functional testing covers WebSocket connection testing and API contract validation against JSON Schema or OpenAPI specs. Mobile testing (beta) executes steps written in plain language on real Android and iOS cloud devices via a user-supplied DeviceCloud account, with video recording and step-by-step activity logs. CI/CD integration is available for GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Travis CI, and Azure Pipelines, with Slack and Telegram notifications. Defect and result sharing integrates with Jira, Linear, and GitHub.

AI capabilities are entirely optional and can be bypassed for fully deterministic testing workflows. When used, AI features include self-healing UI selectors, API test scenario generation across functional and edge-case categories, security assessments via real browser-based exploration, website performance and SEO and accessibility audits, and code review comments posted directly on pull and merge requests. Users connect their own AI provider account (OpenAI, OpenRouter, Google Gemini, Ollama, SumoPod, LiteLLM, and others) and pay the provider directly, with no AI usage markup applied by the platform. A remote MCP server (beta), available on all plans, allows coding agents such as Claude Code, GitHub Copilot, and Kilo AI to list test scripts, trigger runs, and check results without leaving the editor.