Autonomous Test Automation

Generate and maintain tests from natural language; self-heal failing steps.

Snapshot and semantically annotate the DOM to recommend resilient selectors and cut flakes.

Declarative fixtures, isolated datasets, caching and TTL to stop data collisions.

DAG-based planning to run safe steps concurrently and shorten suites.

Pixel/structural diffs and CLS thresholds with CI-visible artifacts.

Device/locale/network matrices and per-step overrides without script duplication.

Correlate failure signals (selectors, data, network, code) and propose fixes.

Spin up isolated, disposable stacks per scenario (Testcontainers-style).

Version prompts/models, audit changes, and canary deployments.

Blend UI + API flows; create preconditions and contract checks.

Receive and assert emails within scenarios to verify end-to-end journeys.

Automated a11y rules and essential SEO validations for non-functional quality.

Flakiness, duration, and coverage growth dashboards.

Test across all major browsers and versions with intelligent automation.

Seamless integration with your existing CI/CD pipelines and workflows.

Schedule tests to run at specific times or intervals automatically.

Get instant notifications about test results and failures.

Scale your testing team without limits or additional costs.

Advanced flakiness detection and intelligent retry mechanisms.