Agree the model
Define responsibilities, project access, confidentiality and how your clients will receive quality reporting.
QA SONIC can operate as a white-label Quality Engineering partner for development agencies that need reliable QA capability for specific projects, client accounts or delivery periods.
Agree the scope, confidentiality, client communication and reporting model before delivery begins. Support can fit a specific project, client account or delivery period.
Define responsibilities, project access, confidentiality and how your clients will receive quality reporting.
Add functional QA, automation and specialist testing in step with your project and release cadence.
Provide consistent findings, risk summaries and knowledge transfer as capacity scales with your needs.
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.