For CTOs

Faster releases with no QA bottleneck.

Automate testing with AI agents that cut QA time by 75%. Ship on time, with predictable releases and the confidence to move at the speed of your engineering team.

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Trusted by high-performing engineering teams at:

Case study

Case study

You can't hire your way out of a QA bottleneck.

Scaling people doesn't scale quality. CTOs running modern engineering orgs need a testing model that grows with feature velocity – not headcount.

Coverage map highlighting untested branches in red

Stop growing coverage gaps

Scale your testing capacity with AI that discovers and closes coverage gaps before they turn into incidents.

Diagram representing reduced test maintenance overhead

Escape maintenance overhead

Stop maintaining tests that break with every UI change. Recover your team time for testing what matters.

Dashboard with QA tech agents running tests on schedules and builds

Run tests that fit AI-SDLC

Stop managing scripts and start scaling quality. Run continuous, goal-driven tests designed for the speed of the AI-SDLC.

"For a large traditional software system, almost 50% of the budget goes to finding and fixing bugs."

CISQ report

Trade test maintenance
for feature velocity.

Shift-left testing without the maintenance tax

QA agents test your product like real users – with goals in mind, relying on UI behavior instead of brittle scripts or selectors.

Run full E2E user journeys across web, mobile and APIs
Catch bugs as early as PRs and CI – not days later in QA or production
No selectors, no flakes, no rewrites on every UI change

Context for each issue

AI agents record each step of a test, giving developers full context and logs to debug faster.

Step-by-step traces with screenshots and network logs
One-click reproduction shared with the team
Surface root causes instead of stack traces

Test step trace with network logs surfacing a payment validation failure

Coverage insights

As agents explore your product, they build coverage reports that reveal uncovered user paths.

Visual map of tested vs. untested user flows
Spot regressions and dead ends before customers do
Hand reports to product, design and leadership

Coverage map of passing and failing user flow steps

Clear reporting

Get a clear view of test results and see what's breaking, where, and why – without any noise.

Aggregated runs across environments and branches
Slack, email and webhook notifications you can trust
Export-ready summaries for your weekly reviews

Insights dashboard with run counts, time saved and test execution trends

320h/mo
QA time saved

Fredrik Seidl – CTO at Upsales
Upsales is a SaaS platform for CRM, marketing automation & Sales in B2B. ~150 employees.

The AI testing blueprint for enterprise.

Built for CI/CD

Trigger AI tests from your CI/CD pipeline on every build or deployment.

Instant PR feedback

Run tests on every pull request and catch issues before merge to power up shift-left teams.

SOC 2 compliant

AI test your product without reading your code. Your data is never used to train models.

No infra setup needed

AI agents run in the cloud. Point them at your environment and start testing.

Write tests in natural language

Work with AI in plain English and get new test case ideas.

No vendor lock-in

Test definitions stay portable and open for full flexibility.

Ready to end the QA bottleneck?

See how QA.tech agents test your product in a 30-minute demo – and leave with a plan to reclaim those hours.

Get a demo