Qase
Test management platform with Qase AI that writes cases and converts them to automation.
About
Qase is a modern test management platform founded in 2019 by Nikita Fedorov in Austin, Texas, covering both manual and automated testing in one workspace with 35 plus integrations across issue trackers, CI/CD, and test frameworks. Its AI layer, formerly called AIDEN and now Qase AI, is the core differentiator.
Qase AI includes an AI Test Designer that writes structured manual test cases from Jira, GitHub, Notion, or Confluence requirements, applying techniques like boundary and negative testing, and an AI QA Architect that converts manual cases into executable Playwright, Cypress, or Selenium scripts, with an agentic authoring mode that breaks high-level objectives into browser actions and self-corrects during generation. A Qase MCP server lets AI coding assistants read test cases and create test runs directly. AI usage is credit-based, and the product holds a 4.7 out of 5 G2 rating with a usable free tier for up to 3 users.
What it can do
- AI Test Designer generating test cases from requirements and screenshots
- AI QA Architect converting manual cases into Playwright, Cypress, or Selenium
- Agentic authoring mode with self-correction during test generation
- MCP server for AI coding assistants to manage test runs
- Automation-readiness grading and data-driven parameterized tests
Setup
Sign up on the Qase website; the free tier needs no credit card.
Prerequisites
Requirements in a connected tracker such as Jira or GitHub for AI generation.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 125; Trending score 78/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.