Unified test automation
Functional, API, performance, and accessibility testing on one platform, so the go/no-go meeting reads one readiness view instead of four tools' worth of partial answers.
Platforms / Quality Engineering Suite
The QE suite that gives your engineers their sprints back
In most engineering organizations, the automation team spends its sprints repairing yesterday's tests: locators break, data drifts, and coverage never grows. VirtueATLAS is our AI-powered quality engineering suite built to end that cycle. It validates, executes, and learns across web, API, performance, and accessibility, with AI proposing test repairs for engineer review, so the team's time goes into new coverage and the release call gets evidence instead of anecdotes.
- Validate · Execute · Learn
- Self-healing automation
- No-code API testing
- Integrations: Jenkins · GitHub · GitLab · Azure DevOps · Jira
One platform, three stages: validate, execute, learn
Coverage that spans the whole delivery lifecycle: validate what to test, execute at scale, and learn from every run, with each stage feeding the next.
- 01
Validate
- Unified test automation
- API & accessibility testing
- 02
Execute
- Parallel & distributed execution
- One-click runs · performance & load
- 03
Learn
- Analytics dashboards & evidence
- Real-user monitoring (RUM)
A continuous learning engine closes the loop: every run improves test accuracy and stability over time, and predictive quality intelligence flags high-risk failures before they execute.
Inside the three stages
01
Validate
Unified test automation across UI, API, and accessibility, run and reported in one place.
02
Execute
Parallel and distributed execution, one-click runs, and performance & load testing on every build.
03
Learn
Analytics-driven dashboards, application screenshots & evidence, and real-user monitoring turn every run into insight.
Capabilities
No-code API testing
Build and manage REST/SOAP API tests through no-code workflows, so API coverage keeps pace with CI/CD without queueing behind framework specialists.
Self-healing automation
AI detects UI and application changes and proposes script repairs; an engineer reviews and approves each one. Maintenance becomes a review task instead of the team's whole sprint.
Predictive quality intelligence
AI-driven analysis flags high-risk test failures before execution and surfaces defect clusters, coverage gaps, and release readiness, so 'are we ready to ship?' gets answered with data.
Architecture
How it's built
One test model across UI, API, performance, and accessibility, coordinated in a single platform.
Validate
Unified, cross-stack test automation
One test model spanning UI, API, performance, and accessibility across microservices, multi-cloud, and distributed systems, with unified visibility over all of it.
Execute
Parallel & distributed execution
Tests run simultaneously across web, mobile, APIs, and databases with intelligent load balancing and one-click execution on every build.
Learn
Continuous learning engine
ATLAS learns from test outcomes, application changes, and runtime behavior, improving accuracy and stability over time, with dashboards, evidence capture, and real-user monitoring feeding the loop.
Integrations
- CI/CD & DevOps
- Jenkins, GitHub, GitLab, Azure DevOps, Docker, Kubernetes
- Work tracking
- Jira
- Coverage
- Web, API, performance, and accessibility; mobile via device automation
Deployment & data
ATLAS is applied within our test-automation and Test Center of Excellence engagements, and is built for microservices, multi-cloud, and distributed enterprise systems. Frameworks are built in your stack so your team can maintain them; ATLAS accelerates authoring, execution, and self-healing without locking you into it.
Per-tenant data isolation; data-handling terms committed in your service agreement. See Trust & Company Facts.
What the AI does, precisely
- Autonomous
- Parallel execution, failure clustering, and real-time monitoring run without intervention.
- AI-assisted
- Test authoring, self-healing repairs, and predictive risk analysis are AI-proposed and engineer-reviewed.
- Human-decided
- What enters the suite, what gates a release, and what a failure means stay engineering decisions.
In service delivery
ATLAS accelerates our test automation and Test Center of Excellence (TCoE) engagements, and in the assurance loop it's where security findings become permanent regression packs, so a fixed vulnerability stays fixed.
AI-Driven Test Automation service →See it running
A guided session with the QE team that uses ATLAS daily: authoring, execution, and locator repair shown on a working suite, with your stack in mind.