Early access for engineering teams

Stop guessing.
Know your test quality.

Connect your CI test data. QAI turns recent test runs into suite health, flaky-test signals, risk scores, and workspace quality views your team can act on.

Uses labelled sample data only. Connect your platform to see your real quality data.
Suite
Health dashboard
Rule-based
Risk recommendations
CI data
Pilot connectors
qai.local / dashboard
📊
🔍
🔌
🏢
Suite quality dashboard
Pass rate
94.2%
Flaky tests
17
Risk score
68
Test suites
QA-regression-suite
92%
QA-smoke-nightly
78%
Integration-tests
61%
E2E-browser-chrome
88%
How it works
From connection to quality signals

Connect a pilot-supported CI source, sync published test results, and review stability signals in one workspace.

1
Connect your pipeline
Add a supported CI connection with the required read access for pipeline and test result data. Azure DevOps is the primary pilot connector, with GitHub and GitLab support available for CI data.
2
QAI syncs published runs
Published test runs are pulled, normalised, and scored for stability, flakiness, failure streaks, and risk.
3
Share with your team
Invite teammates to your workspace. Members can review the same synced quality data for their workspace.
4
Act on recommendations
Use rule-based recommendations to decide which tests to fix, quarantine, monitor, or investigate first.
What you get
Quality signals without the spreadsheet work

A focused workspace for dashboard monitoring, charts, insights, and team access.

📊
Dashboard
See pass rates, failure trends, suite health, and risk signals across synced test suites at a glance.
🔍
Test Intelligence
Drill into individual test cases. Flakiness index, intermittency score, longest fail streak, and weighted failure rate are calculated from synced runs.
⚡
Risk Recommendations
QAI ranks tests by risk and shows rule-based next actions such as fix, quarantine, monitor, or investigate.
🔌
Multi-source Connections
Connect pilot-supported CI sources such as Azure DevOps, GitHub Actions, and GitLab CI, then scope data by workspace.
🏢
Workspaces & Teams
Create separate workspaces for different teams or projects. Invite members, assign roles, and keep data scoped correctly.
🔒
Tenant Isolation
Organisation, workspace, connection, and score data are scoped by tenant so teams only see the data they are allowed to access.
Private pilot scope
Focused now, expanding with real feedback

The pilot is intentionally focused on the core quality-intelligence workflow before we widen platform coverage and enterprise controls.

✓
Available in pilot
Azure DevOps, GitHub Actions, and GitLab CI connections; dashboard, charts, insights, risk scoring, rule-based recommendations, workspaces, and member invites.
↗
Planned after validation
Advanced AI recommendations, enterprise SSO, more CI/CD connectors, deeper release reporting, exports, and configurable scoring models.
🔒
Data safety posture
QAI uses read-focused source access, stores scoped test execution data, does not require source code, and keeps customer workspaces isolated by organisation and workspace.
Built for security-conscious engineering teams
✓ Read-focused source access for syncing pipeline and test data
✓ Test data stays scoped to your organisation and workspace
✓ Isolated per organisation — no cross-tenant access
✓ No source code required for test scoring
✓ Early access pilot with direct product feedback
Early access pilot
QAI is in a private pilot. We're looking for QA teams who want to validate their real test data with direct onboarding and feedback.

Early access pilot. No credit card required.

Ready to know your test quality?

Request access to the private pilot. Approved teams receive an invite before connecting real CI data.

Sample data only. Your workspace stays empty until a real platform sync runs.
or

Evaluating for a larger team? Talk to us →