Validate every PR with AI that runs tests for you
Smooth setup
Connect GitHub and QA.tech automatically picks up every PR and its Vercel preview β tests run before you merge, zero config required.
Fast feedback loop
AI runs regression and exploratory tests on every PR, posts pass/fail results to GitHub, and flags what broke β before anyone reviews.
Detailed debugging insights
Get screenshots, logs, and network activity for every step of the test run to debug faster and know exactly what caused the failure.
Complete your agentic workflow
with AI testing
Remove the maintenance tax
AI agents adapt to UI changes automatically β so your tests keep running without your team spending hours fixing brittle selectors.
Accelerated release velocity
Agents run continuously, cutting QA time and freeing senior engineers from script maintenance to focus on strategy and architecture.
Vision-based UI testing
QA.tech sees your UI visually, not through code. It finds elements the way a user would β so design or flow changes never break your test suite.
Your AI testing blueprint for fast,β¨reliable releases
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.
SOC2 compliant
Safe and enterprise-ready. Your data is never used to train models.
No access to code needed
QA.tech test your product without reading your code, so there is no need for a lengthy approval process to try it.
Accessibility testing
Run accessibility checks on every change. Catch regressions early and prevent accessibility debt from building up over time.
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Dynamic test data generation
Generates compliant, realistic datasets covering standard paths, edge cases, and error-inducing inputs for complex workflows.
Ship on time with predictable releases and confidence.β¨Use AI agents to test as fast as you build.
