Transform risky releases into reliable launches.
Risk-driven testing, automation and AI acceleration. Experienced Quality Engineers who own the judgment.
From uncertainty.
To a clear next step.
Built into every engagement.
Modern software
moves fast.
Quality Engineering
should too.
Teams ship more frequently. AI-assisted development produces software faster. But repetitive manual QA and testing that starts too late can hold the whole release back.
Software teams should not have to choose between development speed and product quality. QA SONIC brings Quality Engineering up to speed.
We do not test
everything equally.
We test what matters.
More test cases do not automatically mean better quality. We start with your product, users, critical workflows and business risks. Then we build coverage around where failure matters most.
Testing depth should reflect impact, complexity and change.
AI accelerates the work.
Engineers own the judgment.
Technology reduces repetition.
People stay responsible for what the evidence means.
AI & automation
- Requirements analysis & scenario generation
- Test-case drafting & test data
- Automation development
- Failure analysis & reporting
Experienced Quality Engineers
- Product understanding & risk analysis
- Exploratory investigation
- Coverage decisions & expert validation
- Uncertainty & release judgment
Quality Engineering for
the problems that slow releases.
Product Quality Assessment
Know where your product stands before your users tell you.
/02Web & Mobile Quality Engineering
Comprehensive testing built around real product risk.
/03Regression Automation
Automate repetitive regression work with tests your team owns.
/04API & Integration Testing
Test the systems your users cannot see.
/05Payment & Transaction Testing
Protect the workflows directly connected to revenue.
/06Performance Engineering
Find performance risks before users experience them.
/07AI & LLM Quality Evaluation
AI features need more than traditional pass/fail testing.
/08Embedded / White-Label QE
Add QA capability to your agency without building it from scratch.
Confidence Engineering.
A disciplined path from product understanding to release readiness.
Learn the product before testing it.
Review the goals, users, release scope, architecture, integrations, data flows, business rules and known issues. Good coverage begins with context.
- Product goals and users
- Architecture and integrations
- Business rules and data flows
- Existing coverage and known issues
Confidence means understanding the important risks, with enough evidence to make an informed decision.
Build automation
you own.
Your testing strategy should not depend on another subscription.
We build maintainable regression automation with established frameworks, integrated directly into your repositories and CI/CD pipelines. You own the code, tests, framework and long-term value.
Different teams.
The same need for confidence.
A single release, a defined project or specialist capacity alongside your team.
Startups & Founders
An independent quality assessment, prioritized fixes and clear release observations.
SaaS & Product Teams
Repeatable coverage, earlier quality feedback and evidence that supports each release.
AI-Built Applications
Clarity on critical workflows, coverage gaps and the issues to address before launch.
Development Agencies
QA delivery under an agreed operating model, with consistent reporting and flexible capacity.
FinTech & Payment Products
Transaction coverage, gateway-specific evidence and prioritized findings around revenue risk.
Teams Building AI Features
Repeatable evaluation data, human-reviewed findings and visibility into AI regression risk.
Engineering work.
Real product context.
Selected founder-delivered projects that inform how QA SONIC works today.
Explore case studiesMaking critical SaaS workflows repeatable.
Playwright automation for idea creation and viewing workflows in a SaaS product.
Accept Mission · Founder experienceRead project storyTesting where product behavior meets payment risk.
Quality assurance within TableCheck’s payments squad across multiple payment gateway integrations.
TableCheck · Founder experienceRead project storyUnderstanding performance on older devices.
Real-device performance testing with recorded scenarios and video evidence.
Instagram Lite · Founder experienceRead project storyLess uncertainty.
More useful evidence.
Risk-driven, not checklist-driven
We prioritize testing based on where product failures matter most.
AI-accelerated, not AI-dependent
AI increases leverage while engineers remain responsible for quality decisions.
Automation without lock-in
Maintainable test assets your team can own.
Engineering-first
Work with development instead of waiting at the end.
Outcome-focused
A better product and clearer release decisions, not test-case volume.
Are you an AI testing platform?
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.
Do we need a platform subscription to run our automation?
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.
Can you work with our existing QA team?
Yes. QA SONIC can add specialist automation, performance, API, release-readiness or AI evaluation capability without replacing the internal team.
Do you offer white-label QA for agencies?
Yes. We can support agency client projects under an agreed white-label model, including functional QA, automation, specialist testing and release assessments.
How are engagements scoped?
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.
What happens after testing?
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.
Quality should move with development.
Your engineering team should not have to slow down just to become confident in what it ships.