Shipping velocity meets release quality

Ship with confidence, not anxiety. Qase brings your CI results, automated tests, and manual runs into one place and converts your manual backlog into automated scripts.

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Used by 2000+ companies

4.8
AsanaBitlyBumbleCrypto.comRakutenSeatGeekSUSEWolt
AsanaBitlyBumbleCrypto.comRakutenSeatGeekSUSEWolt

Workspace

Projects

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Engine control systems

Tests

Repository

Shared steps

Review

Traceability reports

Execution

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Test runs

Environments

issues

Backlog

Board

Test run 2026/02/24

240 cases | 59 suites

Oil Pressure & Safe Shutdown

Oil Pressure Monitoring

ID

2

14

1

32

34

34

34

34

34

Member

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

R

Rodrigo Mori

Status

Passed

Failed

Invalid

Blocked

Skipped

Passed

Passed

Invalid

Blocked

Skipped

Skipped

Skipped

Skipped

Skipped

Title

Engine does not shut down when oil pressure is low but not critical

Validate monitoring on Website

2 - Engine enters safe shutdown mode when oil pressure is critical

Copy - Validate monitoring on website

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Handle ECU connection loss gracefully during monitoring

Duration

1s 410ms

1s

1s 882ms

1s

1s 21ms

1s 21ms

1s 21ms

1s 21ms

1s 21ms

1s 21ms

Pytest

Cypress

Playwright

JUnit

Newman

PHPUnit

1

from qaseio.pytest import qase

2

3

def capital_case(x):

4

return x.capitalize()

5

6

@qase.title('Verify if string capitalized')

7

@qase.layer('Unit')

8

def test_capital_case(x):

9

assert capital_case('semaphor') == 'Semaphor'

Conversion accuracy

Real time

94.2

%

↑ +2.1% vs last month

Selector match

97%

Assertion accuracy

92%

Step ambiguity

14%

AIDEN AI

Generate test skeletons

The Problem

Development got faster. QA didn't.
The gap is growing.

Test debt compounds. Results scatter. Releases slow down.

Without Qase

Manual test backlog growing every sprint. Same cases re-run by hand before every release.

↓

With Qase

Qase AI converts manual cases into Playwright, Cypress, or Selenium scripts. The backlog shrinks instead of grows.

Without Qase

Test results scattered across CI pipelines, spreadsheets, and issue trackers. No single view of what passed.

↓

With Qase

CI results, manual runs, and framework output in one dashboard. One URL for the whole team.

Without Qase

No link between requirements and test results. When something breaks in prod, nobody can trace what was tested and what wasn't.

↓

With Qase

Every requirement maps to test cases and results. Full traceability from what was asked to what was verified.

The payoff

With Qase, you'll never have to ask:
“Are we good to ship?”

You'll know. Every time.

System of Record

See all results in one view with zero blind spots

Qase unifies automated and manual test results in one system of record. Get clear visibility into your coverage gaps and confidence levels, so you can focus your QA investment where it matters most.

Learn more→

Automations

Turn test debt into test automation

Qase converts your manual test cases into automated scripts for any framework. Paste a test case. Pick a framework. See the script.

Learn more→

Readiness Report

Replace release anxiety with release confidence

Make go/no-go decisions based on real data, not by chasing approvals and copying between siloed systems. Qase is the clear and trackable way to verify that product requirements were actually met.

Learn more→

Readiness Report

Deep integrations with the tools your team already runs

Qase lives where your work happens. 35+ integrations across CI/CD pipelines, test frameworks, and issue trackers. Not surface-level connectors. Real, bidirectional depth.

Slack
Integration
Trello
ClickUp
Asana
View all integrations→

Qase studies

Weeks → hours

to get a new engineer up to speed on test coverage

Days → hours

to migrate 2,500 test cases from a previous tool

1,500 → 3,500

test cases as the product portfolio grew — without slowing down

2x

faster QA runs per release

View case study→
SUSE case study preview

Case study

How SUSE Matured QA with Qase

Inside Brandon DePesa’s journey from startup spreadsheets to unified, data-driven quality at SUSE.

Learn more→

Features that smooth quality for everyone

Centralized Run History

Every run in one timeline.

Requirement Traceability

Requirements linked to test cases linked to results bidirectionally.

Flaky Test Visibility

Historical pass/fail patterns for unstable tests.

Shareable Readiness Views

Pass rates, gaps, blockers.

Ship quality software faster with Qase

Start trialGet a demo

FAQs

Qase is a test management platform that brings CI results, automated test runs, and manual testing into one shared view, so engineering teams can see exactly what passed, what failed, and what still needs attention before every release.
Most QA teams are stuck in one of three generations of tooling: spreadsheets and wikis that break the moment you scale (Excel, Confluence), standalone test management platforms built for a manual-first era (TestRail, PractiTest), or Jira-native add-ons that lock visibility inside a single instance (Zephyr, Xray). Qase is none of these. It gives engineering teams a unified layer over what they already run — connecting CI results, automated frameworks, and manual runs — while using AI (AIDEN) to reduce manual burden, not pretend it doesn't exist. Real coverage visibility and release confidence, without a rip-and-replace.

Compare Qase →
AIDEN is Qase's AI QA agent that works across three layers. It generates structured test cases with steps directly from Jira or GitHub issues, AI-labeled for traceability, ready to review and approve before saving to your suite. It converts manual test cases into executable automated scripts by analyzing your repo, grading each case by automation readiness (easy, medium, difficult), and bulk-converting the ones you approve. And it runs those tests in Qase Cloud with parallel execution across multiple browsers, no local infrastructure required. Results flow back into your test runs automatically.

Start automating →
Qase has 35+ integrations across CI/CD pipelines, test automation frameworks (Playwright, Selenium, Cypress, Jest, and more), and issue trackers (Jira, GitHub, Linear). These are real, bidirectional integrations — not surface-level connectors.

Integrate →
The Qase MCP server lets AI coding assistants — like Claude or GitHub Copilot — read test cases and create test runs directly inside Qase. It's built for teams that want AI to participate in testing workflows, not just code generation.

Install the MCP →
Qase offers plans for teams of all sizes, from early-stage startups to enterprise engineering organizations. Plans scale with team size, automation volume, and access to enterprise features like SSO, advanced analytics, and dedicated support.

See full pricing →
Instead of chasing approvals or copying results between systems, Qase gives every stakeholder a shared, real-time view of release readiness, with requirement traceability that shows exactly what was tested and what wasn't. Go/no-go becomes a data-driven call, not a meeting.