
Releases get smaller and more frequent, but testing time doesn’t magically shrink. AI lets you spawn up to 100 agents to run parallel tests across flows you don’t have time to cover manually.

Scale the quality of your team’s work and focus on risk, edge cases, and real product quality. Delegate repetitive checks to AI agents and catch issues earlier, while they’re still cheap to fix.

UI changes shouldn’t break your test suite. AI agents understand the intent of a test, not just selectors. When flows change, tests adapt to reach the same goal.
– Pricer Case Study

Describe the goal of your test in plain English. AI suggests E2E test scenarios that spans across web, mobile, and APIs.

AI agents spot coverage gaps in your product and generate test drafts – freeing you from the groundwork.

AI record videos at each step of a test run and keeps full context and logs – everything a dev need to fix bug faster.

AI distinguishes real product bugs from test instability. It helps you reduce the communication noise and false alarms.

Decide which tests runs when – daily, weekly, or on merge. Control coverage and scale execution when needed
AI agents run in the cloud. Point them at your environment and start testing.
Test different user roles with their own credentials and data.
Carry over test from Playwright for a head start in QA.tech.
QA.tech test your product without reading your code, so there is no need for a lengthy approval process to try it.
Run accessibility checks on every change. Catch regressions early and prevent accessibility debt from building up.
AI gets screens visually, not through pixel diffs. Layout and UX regressions are caught before users notice them. [Coming soon]
Use AI agents to take over repetitive work and give your team time back for real QA thinking.
Get a quick walkthrough of QA.tech.