AI-native quality engineering
Quality intelligence that remembers why the product exists.
AutoQAin Technologies builds explainable AI systems that transform application knowledge into approved test coverage, resilient automation, and evidence-backed release decisions.
Early-access program openfor selected QA and engineering teams
01020304
Flow healthIntent preservedAll evidence attached
step.06Locator drift detectedRemapped inside Flow DNARELEASE SIGNALSafe to ship
Evidence complete · 08:4201 / Our conviction
Automation should not lose the intent that made a test valuable.
Most testing stacks split requirements, manual coverage, scripts, execution, and release decisions across disconnected tools. We are building a system where every quality asset stays connected to its original product context.
Our first product
Meet AutoQAin.
An AI-native quality engineering platform built around traceability, human approval, and transparent automation.
Application Knowledge
Bring requirements, acceptance criteria, documents, product links, tickets, demos, and navigation knowledge into reusable context.
AI Test Design
Generate or optimize manual coverage, then preserve client review as a hard gate before automation.
Automation Studio
Turn approved cases into readable Playwright assets with mapped steps and reusable helpers.
Execution Intelligence
See step evidence, failure context, repair attempts, screenshots, logs, and final outcomes together.
Release Guard
Protect critical journeys and convert test evidence into a decision teams can act on.
One connected quality system
From product truth to release confidence.
Capture knowledge
Requirements, UI context, acceptance criteria, test data, and reusable navigation.
Build coverage
AI designs or enriches cases while reviewers retain final control.
Generate Playwright
Approved intent becomes structured, editable automation.
Execute and decide
Repair safe drift, expose real defects, and preserve evidence.
Built for real delivery pressure
One platform. Different starting points.
Begin with the quality problem your team feels today, then connect the rest of the lifecycle as you grow.
FAST-MOVING TEAMS
Startups
Build scalable coverage before manual regression becomes release debt.
Explore solution ↗ QUALITY PRACTITIONERSQA Teams
Connect manual expertise, automation, and execution evidence.
Explore solution ↗ GOVERNED DELIVERYEnterprise
Protect critical flows with transparent AI and release controls.
Explore solution ↗Early-access feedback
We are earning the proof before publishing the praise.
Our pilot program collects consent-based feedback from real testers. Public customer quotes will appear here only after verification and approval.
Does knowledge improve coverage?
Pilot teams compare AI-designed cases with the requirements and application context they supplied.
Can users trust the repair?
Testers review exactly where automation failed, what changed, and whether intent stayed intact.
Is the evidence actionable?
Quality leads evaluate whether reports support debugging, defects, and release conversations.
Evidence policyNo fabricated testimonials. No invented usage numbers. No certification claims before verification.Join the early-access program
A better quality conversation starts here
Request an AutoQAin pilot↗