Does knowledge improve coverage?
Pilot teams compare AI-designed cases with the requirements and application context they supplied.
Early access
Real evaluation before polished claims.
We are testing AutoQAin with practitioners across workspace controls, knowledge quality, test design, automation, execution, and release workflows.
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.
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
Pilot model
What participating teams receive.
Defined success plan
We agree on a functionality, coverage expectations, and evidence required before testing starts.
Guided onboarding
Your team gets a working session for projects, knowledge, test design, and automation setup.
Feedback channel
Product observations are tracked transparently, prioritized, and reviewed with the team.
Verified case study option
Public attribution happens only with written approval after meaningful product use.
A better quality conversation starts here
Apply for early access↗