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How we deliver QA 40% faster

AI handles the slow, repetitive tasks. Our engineers handle the strategic decisions. You ship 40% faster, more frequently, minus the added anxiety.

Talk To An Expert

Two systems working together

Traditional QA is slower because humans do everything including repetitive work that doesn't need human strategic interventions. We split the work differently.

What AI Handles

  • Test case generation from your product
  • Repetitive execution at scale
  • Synthetic test data creation
  • Parallel cloud execution
  • Regression suite maintenance
AI illustration

What Engineers Handle

  • Test strategy and prioritization
  • Edge cases and exploratory testing
  • Domain-specific judgment calls
  • "Should we ship this?" decisions
  • Your Slack messages at 2am
Engineers illustration

From kickoff to coverage in weeks

Here’s what happens when you start working with us.

Phase 1
What we do
  • Gather context about your product
  • Map critical user paths and risk areas
  • Integrate with your CI/CD
  • Define success metrics together
What you get
  • QA strategy document tailored to your product
  • Clear scope and coverage plan
  • Named engineer(s) assigned to your account
Phase 2
What we do
  • AI generates initial test cases from your product
  • Engineers review, refine, and add domain-specific cases
  • First test cycles run against your staging environment
  • We validate our approach with real concerns
What you get
  • Preliminary bug reports
  • Validated test coverage baseline
  • Testing rooted in real product knowledge
Phase 3
What we do
  • QA runs in sync with your release cadence
  • Automated reports delivered every cycle
  • Our engineers are always up for a chat in your Slack
  • QA that's continuously refined as your product evolves
What you get
  • Pre-release confidence
  • Bugs caught before customers find them
  • QA that keeps pace with your roadmap

We plug into your workflow

You don't change how you work. We adapt to you.

Communication

  • We join your Slack, Teams, or Discord - whatever you use
  • Daily async updates, not meetings that eat your calendar
  • Escalations go directly to you when judgment is needed
Slack
Teams
Discord

Tooling

  • Native integration with your CI/CD (GitHub Actions, CircleCI, Jenkins, GitLab CI, etc.)
  • Works with your existing test management tools or we bring ours
  • Automated reports land in your inbox, not a portal you'll forget to check
CircleCI
GitHub

Cadence

  • Release daily? We test daily.
  • Sprint-based? We align to your sprints.
  • Chaotic startup schedule? We've seen it. We adapt.

What you can expect in 30 days

With QAonCloud, you get a clear picture of what to expect. No confusion. No surprises. Just clear milestones.

By Day 7

  • Kickoff complete, strategy defined
  • Integrations live
  • Named engineer(s) in your Slack

By Day 14

  • First test cycles running
  • Initial bugs caught
  • Coverage baseline established

By Day 30

  • QA running in sync with your releases
  • 40% speed difference visible
  • Clear path forward—or part ways cleanly

FAQs

We typically start with a 1-month focused engagement. Long enough to prove value, short enough that you're not locked in if it's not a fit.
You’ll get dedicated engineers who learn your product and stay with you. So, no explaining context every sprint.
We flex with your needs. Launching a big release? We ramp up. Quieter quarter? We scale back. You're not paying for idle capacity.
We use synthetic test data by default. For HealthTech clients, we're HIPAA-compliant. For FinTech clients, we follow SOC 2 practices. We work within your security requirements.
That’s okay! We'll assess what's working, integrate with it, and fill the gaps. We're not here to throw out what you've already built.

“We went from zero to 100% test coverage without us investing practically any time. For small teams that can't afford dedicated testers, this synergy is great.”

Miguel Romero Karam
Miguel Romero KaramNetzo