Understand & assess
Review product goals, users, business rules, integrations and the release you are preparing.
Built an MVP, SaaS product, mobile app, AI-generated application or major new feature and are not sure whether it is ready? QA SONIC performs an independent Quality Engineering assessment focused on the workflows and risks that matter most.
We begin by understanding the product, users, critical workflows and integrations. Findings are prioritized by impact, with evidence that helps your team act.
Review product goals, users, business rules, integrations and the release you are preparing.
Exercise critical workflows, negative scenarios and areas with meaningful product or business risk.
Deliver evidence, coverage boundaries, high-impact findings and recommended next actions.
AI can accelerate analysis, scenario drafts, test data, automation development and reporting. Experienced engineers review that work and investigate what automated checks leave uncertain.
No. QA SONIC is a Quality Engineering company. We use AI and automation to accelerate parts of the testing process, but experienced engineers remain responsible for risk analysis, coverage, validation and release judgment.
No proprietary QA SONIC platform subscription is required for automation built with standard frameworks. Where appropriate, we build inside your repository and CI/CD environment so your team owns the code and can continue running it.
Yes. QA SONIC can add specialist automation, performance, API, release-readiness or AI evaluation capability without replacing the internal team.
Yes. We can support agency client projects under an agreed white-label model, including functional QA, automation, specialist testing and release assessments.
Defined projects are scoped around deliverables and outcomes. Embedded or uncertain work may use time-based commercial models when that is the clearest and fairest structure.
We provide actionable findings, evidence, risk prioritization and recommended next actions. Depending on the engagement, this can include an automation handover, release-readiness summary, defect report, performance findings or AI evaluation results.
Your engineering team should not have to slow down just to become confident in what it ships.