Our in-house AI converts mapped user journeys into production Playwright code, visual snapshot tests, and evals for your AI features. Proposes self-healing fixes on selector drift.

Classifies every failure: real bug, flaky environment, or regression. Confidence scored before anything reaches your team.

Runs up to 200 tests in parallel in under 5 minutes. Cross-browser, screenshot and video capture on every run. You own the code — no lock-in.

Pixel-diff key screens against baselines committed in your repo — unintended UI changes surface on every PR. AI authors and heals the snapshots.

Evals for your own chatbots, RAG assistants, and agents: grounding, prompt-injection resistance, tool-use, and safety — asserted on every deploy.

p95 and p99 latency tracking. Load scenarios at production traffic levels on every deploy, with regression alerts. Performance add-on.

OWASP Top 10 scanning, dependency vulnerability audits, and static analysis across your full codebase. Security add-on.

Send your critical journeys in writing or a call recording. We document every one before a single test is written — no call required.

Every AI-generated test is reviewed before it runs — and for complex edge cases, your engineer writes the test by hand.

Every ambiguous failure is investigated before it reaches your team. Zero false alarms.

The 9am report is reviewed and approved by your engineer before it lands in Slack.

We triage, title, and file every real bug in Jira with severity, steps, and video replay.

Coverage health review. Gaps identified. New journeys proposed. Suite stays relevant.