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Platforms / Quality Engineering Suite

Quality that keeps pace with your releases — not the other way around

VirtueATLAS is our AI-powered quality engineering suite for enterprise DevSecOps — one platform to validate, execute, and learn across web, API, performance, and accessibility, so quality stops being a release bottleneck.

  • 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 — each stage feeding the next.

  1. 01

    Validate

    • Unified test automation
    • API & accessibility testing
  2. 02

    Execute

    • Parallel & distributed execution
    • One-click runs · performance & load
  3. 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

  1. 01

    Validate

    Unified test automation across UI, API, and accessibility — coordinated in one platform rather than four tools bolted together.

  2. 02

    Execute

    Parallel and distributed execution, one-click runs, and performance & load testing on every build.

  3. 03

    Learn

    Analytics-driven dashboards, application screenshots & evidence, and real-user monitoring turn every run into insight.

Capabilities

Unified test automation

Functional, API, performance, and accessibility testing on one platform — not four tools reporting to four dashboards.

No-code API testing

Build and manage REST/SOAP API tests through no-code workflows, so API coverage keeps pace with CI/CD instead of lagging it.

Self-healing automation

AI detects UI and application changes and proposes script repairs for review — maintenance becomes review, not rewrite.

Predictive quality intelligence

AI-driven analysis flags high-risk test failures before execution and surfaces defect clusters, coverage gaps, and release readiness.

Architecture

How it's built

One test model across UI, API, performance, and accessibility — coordinated in a single platform, not four separate tools reporting to four dashboards.

Validate

Unified, cross-stack test automation

One test model spanning UI, API, performance, and accessibility across microservices, multi-cloud, and distributed systems — coordinated with unified visibility, not four disconnected tools.

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 walkthrough of the platform with the team that built it — on live data, with your questions answered in real time.

Book a walkthrough