QA Testing for SaaS & AI Products.
No engineer hire needed.
No QA engineer on staff? Qavlynx plugs in before your next release — finds bugs, prompt regressions, and CI/CD gaps before your users do.
QA Services for SaaS & AI Teams —
starts in 3–5 days
Pick what you need. Start in 3–5 days. No QA hire, no ramp time.
QA Audit
Before your next release: Igor reviews your critical flows, maps what can break, and hands your team a severity-ranked report they can act on the same day.
QA Retainer
No QA engineer on staff, and you ship every 1–2 weeks? Qavlynx covers every release — regression checks, risk triage, AI feature validation — without the cost of a full-time hire.
AI + CI/CD Testing
Your LLM changed behavior after a model update and nobody noticed until a user complained. Qavlynx catches prompt regressions, output drift, and agent failures — before they hit prod.
AI & LLM Testing —
bugs that don't throw exceptions
Your monitoring sees nothing. Your users see garbage. Here's what Qavlynx catches that your test suite misses.
You tweaked a system prompt. No test failed. But outputs are now wrong in 30% of cases — and you'll find out from a user, not from Datadog.
GPT-4o gets a patch. Claude updates a version. Your code didn't change — but tone, accuracy, and format did. Across every AI feature you shipped.
The output is confident, well-formatted, and wrong. No assertion catches it. Your users trust it anyway.
Works in staging. Fails under real user inputs at the exact decision fork you didn't think to test. Qavlynx maps those forks before release.
Built for systems where "it depends" is the output
Probabilistic systems require a different testing methodology. Qavlynx validates AI features where standard QA tooling stops.
QA Audit Pricing —
costs less than one production incident
Fixed price. No surprises. Cancel anytime on retainers.
One release. One audit. You get a full risk map of what can break — before you push to prod.
- Up to 6 hours of analysis
- Critical flow regression mapping
- Risk-ranked findings report
- Developer-ready on delivery
Full audit + AI feature validation. For teams shipping a major release and can't afford a production incident.
- End-to-end QA audit
- Regression risk mapping
- AI feature validation
- Launch readiness report
- One re-test cycle included
Your whole QA infrastructure reviewed and fixed. CI/CD gates, AI testing, re-test cycles, and a direct call with your engineering team.
- Full QA infrastructure audit
- AI & LLM feature testing suite
- CI/CD quality gate setup & review
- Re-test cycle after developer fixes
- Engineering team consultation
- Risk strategy & coverage planning
Ship every week without a QA engineer on payroll. Qavlynx covers every release — ongoing, SLA-backed, scales with your team.
- Dedicated QA capacity per release
- SLA-backed response & delivery
- Multi-product & multi-team coverage
- Quarterly risk strategy reviews
Every plan also includes static security analysis, real test coverage measurement, multi-language support, and automated PDF delivery — ask us what's included for your stack →
Next release in less than 2 weeks?
Tell us your stack and deadline. Igor responds within 48h — most teams start in 3–5 days.
What SaaS & AI Teams
say about Qavlynx
The pre-launch review found 14 critical edge cases in our AI recommendation engine that our internal team had missed. The report was severity-ranked and developer-ready on delivery. The difference between a clean launch and a serious production incident.
We needed QA that could handle technical edge cases and real-world UX before a high-stakes deployment. Igor delivered a level of precision our internal team couldn't replicate under the timeline pressure we were under.
He identified exactly where our LLM integration was failing silently — no obvious errors, just wrong outputs reaching users. We had a fix plan the same day the report landed. Qavlynx is now part of our pre-release process for every major deployment.
Senior QA Engineer, available now —
no hiring, no ramp time
Hiring a QA engineer takes 2–3 months. You don't have that. Igor Sklar has 15+ years of QA across SaaS and AI products — and works directly with you, not through an account manager.
He plugs into your release cycle, maps your risk, and delivers findings your engineers can act on the same day. No onboarding. No overhead.
An internal QA hire takes 2–3 months. Qavlynx starts in 3–5 business days, at senior level, from day one.
Structured for engineering-led teams that deploy frequently. Scales with your velocity — not against it.
GitHub Actions and GitLab CI by default. No separate QA process — it lives inside your workflow.
LLM output validation, prompt regression, and model drift detection built into every AI-adjacent engagement.
QA Outsourcing FAQ —
questions CTOs ask before they book
Release in the next 2 weeks? Let's talk now.
Tell Igor your stack, your deadline, and what worries you most. He'll respond within 48h with a concrete scope.
Book a Risk Review →When's your next release?
Tell Igor your stack, your deadline, and what worries you most. He responds within 48h — personally, no sales team, no commitment required.