Qventis One
The release-aware quality platform. Know what changes, test what matters, release with proof.
Five reasons teams choose Qventis One
Six building blocks, one platform
Start with the block you need. Everything shares one model of your app, so adding the next one never means starting again.
Release Intelligence
Every vendor change mapped to your processes, steps and tests.
Detect and assessApp Model
Screens, flows, APIs, data and rules, learned once and shared.
One modelQventis Engine
Plain English compiled once and run with zero AI tokens.
AutomateStudio
Business testers and engineers write the same readable tests.
AuthorQuality View
Evidence from every engine and a signed go or no-go.
AssureTrust and governance
AI proposes, people approve, every action audited.
GovernEight engines, one flow
Every engine reads the same App Model and reports into the same Quality View.
Functional
One plain-English language for web, API, desktop and mobile, including custom-drawn desktop screens.
Functional engine- Readable steps any reviewer can approve
- Desktop vision for apps other tools cannot see
- Heals proposed with evidence, approved by people
Performance
Reuse functional journeys as load with response-time budgets written in plain English.
Performance engine- No second script to maintain
- Budgets per journey and per release
- Results beside functional evidence
Security
Role, session and exposure checks in the same flow, so a new privilege never slips through an upgrade.
Security engine- Segregation of duties checks
- Custom roles tested after every release
- Findings traced to the screen and step
Service virtualization
Simulate the APIs that are down, unfinished or costly, from specs or recorded traffic.
Service virtualization- Switch by environment, no step edits
- Every run records what was simulated
- Contracts kept in the App Model
Test data
The right masked records for every run, bound to your tenant before anything starts.
Test data engine- Reserve, mask, subset or synthesize
- A pre-run gate refuses unbound sample values
- Every run records the data it used
Data and ETL
Reconcile sources, loads and warehouses so reports show the numbers the business expects.
Data and ETL engine- Source to target reconciliation
- Report validation after each release
- Lineage held in the App Model
Visual
Compare screens and documents with approved baselines and review only meaningful differences.
Visual engine- Page redesigns caught before users see them
- Documents and invoices compared too
- Approvals recorded with the baseline
Accessibility
WCAG checks inside the tests you already run, with an audit trail on every release.
Accessibility engine- Evidence on every release, not once a year
- Issues traced to the component
- Reports ready for audit
See Qventis One on your own release
Bring one app and its next update. We map it, run it and show you the decision.