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This is the same live AI engine our customers run — not a canned demo. Refine a story or generate test cases, free, right here.
AI test automation, end to end
QAEverest turns a user story into a running suite — then keeps that suite alive through redesigns, and tells you exactly why a run failed instead of handing you a screenshot and a stack trace.
Free tier available · No credit card required
Benchmarks measured across API, UI, Performance, Security, Accessibility, and Exploratory testing workflows.
Constant innovation keeps your QA ahead of the curve. Every capability below is available today — end-to-end, on one platform.
Scrub frame-by-frame through any UI test run. AI root-cause analysis surfaces the exact failed step, screenshot, and network call.
Quantify automation value: healed locators, quarantined flaky tests, failure clusters, and engineer-hours saved — metrics your team and stakeholders both need.
Point at a URL and walk away. AI logs in, crawls the app, generates Gherkin flows, executes them live, and triages failures into Jira bug cards in one click.
Pixel-level screenshot comparison with baseline management. Catch layout regressions across builds before users ever see them.
Push test cases to TestRail, Zephyr Scale, Qase, QTest, PractiTest, or Azure Test Plans in one click — no copy-paste, no re-entry, no sync drift.
One ship-confidence score — functional pass-rates, RTM coverage, flakiness, and CI release gates — so release decisions are data-driven, not gut-driven.
Ask "Where are my coverage gaps?" or "Run my last failed suite" in plain English. Copilot streams live tool actions and replies with structured answers.
Import live Figma frames directly into test generation. Design specs become test coverage automatically — no manual transcription, no drift.
What sets QAEverest apart
Test generation, cross-browser grids and visual diffing are table stakes now — every platform has them, including this one. These four are where the work actually went.
When the application changes underneath a test, the run re-anchors the broken step and keeps the original assertion rather than handing you a red build to triage by hand.
Console, network and DOM state are captured across the whole run, so a failure opens on the exact step that caused it instead of a screenshot of the end state and a guess.
Every requirement mapped to the tests that verify it and — more usefully — the ones nothing covers at all, ranked by business risk rather than reported as a percentage.
An MCP server and a published JetBrains plugin put generation and execution inside the editor your developers already have open, so tests get written where the code is.
The problem we set out to solve
Most tools fix a quarter of the problem — and the other three quietly absorb whatever time the first one saved. QAEverest was built to close all four.
“Writing test cases from a story takes days — and the story has changed by the time we finish.”
Tests generated from user stories and real production journeys — across UI, API, mobile, security and performance, in one place.
“A button moved and forty tests went red. None of them found a bug.”
Suites that re-crawl the app, detect drift and repair their own locators — flaky tests quarantined, failures clustered by root cause.
“A test failed overnight. All we have is a screenshot and a stack trace — go reproduce it yourself.”
Console and network captured for every step, replayable frame by frame, with AI reading the run and explaining in plain language why it broke.
“The release call comes down to a green tick and somebody's gut feeling.”
Functional results, coverage and stability fused into one ship-confidence score that can gate a release — every requirement traced, the gaps surfaced.
And all of it where the work already happens — VS Code, JetBrains, Jira, GitHub or a public API. A tool that solves a real problem in a place nobody goes hasn’t solved the problem.
Fits what you already run
Export to code you can read, run and keep. If you leave us, the tests keep working — that’s the point.
From FinTech to the factory floor — QAEverest.ai hardens the flows your business runs on.
Ship faster without breaking trust. Validate payment rails, KYC and fraud checks end to end — with audit-ready evidence on every release.
From SSO to audit trails, QAEverest.ai gives security teams the controls they expect.
Bring your own identity provider — Okta, Azure AD or Google Workspace — with just-in-time user provisioning.
Granular Viewer, Member, Lead and Admin roles, with project-level overrides for least-privilege access.
Every change and sign-in is captured with the user, IP address and timestamp for full accountability.
Each organisation's data is logically isolated and access-scoped — your tests never mix with anyone else's.
Passwords are hashed with bcrypt and sessions are protected with signed, server-stored tokens.
Admins set session timeout, IP allow-lists, password rules and account-lockout thresholds per organisation.
Per-organisation access control · Encrypted credentials · Full audit trail