NEW SERVICE
Agentic QA Testing
AI agents and human experts working in a closed loop — where AI handles speed and scale, and humans ensure accuracy and judgment at every step.
How It Works
01
AI Generates Tests
From pull requests, code diffs, or project documentation, AI agents analyse changes and generate relevant test cases — covering functional flows, edge cases, and regression scenarios automatically.
02
Human Validates the Test Plan
A QA engineer reviews the generated test suite, removes false positives, adds domain-specific context, and approves the scope before any execution begins.
03
AI Executes Across Environments
Tests run in parallel across browsers, devices, and environments. The agent monitors results in real time, collecting traces, screenshots, network logs, and console output for every failure.
04
AI Triages & Generates Reports
Failures are automatically classified as flaky, environment-related, or genuine defects. The AI produces a structured report with reproduction steps, severity ratings, and root cause suggestions.
05
Human Release Gate
No code ships without human sign-off. A QA engineer reviews the AI triage, investigates ambiguous failures, and makes the final go/no-go call before every release.
What You Get
Faster test coverage generated with every PR
Human oversight at every critical decision point
Fewer escaped defects reaching production
Native CI/CD pipeline integration
AI-generated test reports & release summaries
QA scales without growing headcount
Get Started →