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You don't need another test tool. You need someone to read the results.

Your team ships at AI speed. Your test generator makes more tests than anyone can review. What is missing is judgment — the person who looks at a red run and knows whether to call infra, call dev, or ship anyway — and there is no headcount for it. Zenius is that function, plugged into the pipeline you already have.

Run it on a repo — free See what the verdict looks like

The USP, without the marketing

Five things a tool cannot do, and we do every release.

01 · Judgment

Every red run is classified

Flaky, environment or genuine defect — by an engineer who has seen your flows before, with AI triage doing the first pass. You stop paying senior developers to stare at CI.

02 · Coverage from day one

316 cases you don't have to write

Seven years of ticketing, booking and checkout failure modes, mapped to your flows in week one. The agent generates what's missing from your acceptance criteria; an engineer reviews every test before it joins the suite.

03 · The human layer

Someone tries to break it on purpose

Two tabs on the same seat. Promo replay after refund. Currency switch mid-checkout. Automation and agents structurally can't take the paths a malicious or confused user takes; a senior engineer can.

04 · The peak

Rehearsed, not hoped for

Seat holds, queues and gateway retries under event-scale concurrency, two to three weeks before the date — when the breaking point can still be fixed. An engineer on standby during the window.

05 · Accountability

A name on the go/no-go

Not a coverage percentage: a person who signs, with the evidence attached — every defect tied to a fix and a verified re-run. When the incident review asks "who cleared this?", there is an answer.

00 · What we never do

Replace your tests or your pipeline

Your existing tests stay exactly as they are. No proprietary DSL, no vendor runner you can't leave. Everything we add is open Playwright in your repo and your CI, exportable at any time.

Integration

Inside your pipeline, not beside it.

Set-up is a repository connection and a CI step. Everything runs where your code already runs.

Source & CI

Your repo, your runner

  • GitHub, GitLab, Bitbucket — read access to the repositories in scope
  • Runs as a step in GitHub Actions, GitLab CI, Jenkins, CircleCI or any runner that can execute Playwright
  • Results posted as a PR check; scheduled runs for nightly and pre-release
Tests

Open Playwright, in your repo

  • Library cases mapped to your flows; agent-generated cases from acceptance criteria
  • Bring your own tests — they keep running unchanged
  • Chromium, Firefox, WebKit; mobile web viewports; parallel execution
Environments & data

Staging by default

  • Production-like staging preferred; production only with written authorisation and read-only or synthetic paths
  • Synthetic test data and test payment methods; no copies of production PII
  • Secrets stay in your vault or CI secrets; we never store customer credentials in plain text
Evidence

Every failure reproducible

  • Video, Playwright trace, HAR and console logs on every failure
  • Classification: flaky, environment, defect — with the reasoning
  • Trend dashboard: pass rate over time, failure drill-down, release and flaky reports
Load

Rehearsal at your scale

  • Scripted from real user journeys, not URL hammering
  • Ramps to the agreed event-day target; breaking point documented
  • Third-party dependencies mocked or rate-limited by agreement
People

A named engineer, in your channels

  • Slack or Teams channel with your named engineer; 24-hour triage SLA on failures
  • Written go/no-go before every release; post-peak note within 24 hours
  • US, UK, India and Gulf hours covered; standby scheduled for peaks

What a release looks like with Zenius

Monday PR to Thursday ship.

The loop, every merge
PR openedagent generates testssuite runs in CIfailures triagedexploratory passengineer signsship

Developers see a PR check within minutes; the named engineer's verdict lands before the release train, not after it. Peaks get a rehearsal on the calendar 2–3 weeks out.

Questions your tech lead will ask

Will you rewrite our existing tests?
No. Your tests stay exactly as they are and keep running. We add coverage beside them and, if you want, help retire duplicates over time — your call, never a precondition.
Which frameworks and languages?
Playwright (TypeScript) is our default for end-to-end and mobile web. If your suite is Cypress, Selenium or something else, it keeps running; new coverage is written in Playwright so you own it in an open standard.
How does the agent get access to our code?
Read access to the repositories in scope through your source-control provider, revocable by you at any time. Generated tests are committed as pull requests to your repo for review — nothing lands without a human approving it.
What about flaky tests?
Every failure is classified as flaky, environment or defect, with the reasoning and the evidence. Flaky cases are quarantined and fixed within 24 hours, not left to erode trust in the suite. The pass-rate trend is what we report, not a single green run.
Do you need production access?
By default, no. We work against a production-like staging environment. Production runs happen only with written authorisation, on read-only or synthetic paths, and with test payment methods.
Can we run the platform ourselves?
Yes — that is Find a Zenius. Connect a repository, the agent maps flows and generates tests, and you see pass/fail and trends. First run free. Move to a managed engagement whenever you want a name on the release.
What if we stop?
Thirty-day handover. The suite, the pipeline configuration and every piece of evidence stay in your repo and your storage in open formats. Nothing is hostage to the contract.
Who are the engineers?
Senior engineers who have shipped the same kind of system in your sector — ticketing on-sales, booking engines, checkouts, payment flows. You meet your named engineer before the pilot starts.

Try it on a real repo

The first run is free. The verdict is the demo.

Point the agent at a repository. Within days you will see the flows it mapped, the tests it generated from your acceptance criteria, and how it classified what failed. If it is not useful, you have lost nothing and gained a coverage map.

Two ways to start
  • Free platform run — connect a repo, see generated tests and results.
  • Free coverage map — send a URL, get the critical-flow map and a sample verdict in five business days.
Start a free run Talk to an engineer