Qase vs TestMap.ai
Qase
qase.ioTestMap.ai
testmap.aiSide by side
| Figure | Qase | TestMap.ai |
|---|---|---|
| Price from | $35/mo | $15/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · AI Test Case Generators | 7.9 (#9) | 7.9 (#10) |
| Security | Qase states that it is ISO/IEC 27001 certified and maintains updated SOC 2 and SOC 3 reports. | The homepage states that data is encrypted in transit and at rest, isolated per organization, and never used to train AI models. |
Plans
In their own words
Qase
Qase is a test management platform that brings manual testing, automated test runs, and CI results together. Teams can link requirements with test cases and results to follow verification. Qase says it can turn manual test cases into scripts for Playwright, Cypress, and Selenium, and Qase AI can generate structured cases from Jira or GitHub issues for review and approval. The service lists more than 35 integrations across CI/CD, automation frameworks, and issue trackers, including Jira, GitHub, and Linear. Its MCP server lets AI coding assistants read test cases and create test runs. The Free plan costs nothing/month, free forever, and is limited to four users, two projects, 500 MB storage, 30-day test history, and 5k monthly API results. Teams costs $35 per user/month billed annually, or $42 billed monthly, and includes a 14-day trial without a credit card. Enterprise pricing is custom. Qase is available via web and API.
TestMap.ai
TestMap.ai generates structured software test cases from user stories and requirements, then provides tools to manage test work and results. Its AI can use project history, architecture decisions, domain language, documentation rules, and testing conventions as context. Generated cases include prerequisites, steps, expected results, and coverage labels, and can use traditional, BDD, or exploratory styles.
Teams can run tests, track results, create bug reports, and trace requirements through to test outcomes. Real-time comments, review, approval, and role-based permissions support collaboration. GitHub connections can import requirements and code context and sync generated cases back into a workflow; Jira is also listed as an integration. The Chrome extension records browser interactions, selectors, screenshots, and API requests, and recordings can be linked to cases. An MCP server and API let AI assistants search and retrieve test cases and access projects and test runs using API-key authentication and project scoping. Starter is free, with up to two projects and two team members. Pro costs $15 a month and supports up to 50 team members. The service is available on web, as an extension, and through an API.