Intelligent Quality Engineering Platform
Run simulated suites, review defects and tune release thresholds to see how a readiness gate decides.
Interactive demonstration
1. Choose a simulated build
2. Release criteria (adjust to see the gate respond)
3. Results
| Suite | Metric | Value |
|---|---|---|
| Run the suites to see results. | ||
Failure clusters
- None yet.
Open defects
- None yet.
4. Release readiness gate
The decision appears after a run.
What the demonstration shows
- Simulated execution of UI, API, performance and AI evaluation suites
- Failure clustering by signature
- Defect list with severity
- Performance percentiles against budget
- AI evaluation scores with thresholds
- Release readiness gate with adjustable criteria
User journey
- Build produced
- Suites run
- Results collected
- Failures clustered
- Criteria evaluated
- Go or no go recorded
Reference architecture
The components a production version would need. This is a design, not a deployed system.
Intelligent Quality Engineering Platform architecture
- Source control
- CI pipeline
- Test runners
- Result store
- Failure analysis
- Evaluation service
- Readiness dashboard
Reference design. Components are options, not a statement of what is deployed at any customer.
Success criteria
Measures we would agree before building a real version.
- Escaped defects
- Critical journey pass rate
- Time to release decision
- Flaky test rate
- Evaluation regression delta
Want this built around your data and systems?
Tell us which part of the demonstration matches your problem. We will explain what a real version would need.