QA.tech

QA.tech is an AI testing platform for web, pull request, and mobile testing. Validate releases with natural-language test creation, cloud execution, and failure outputs.

AI Testing & QA

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Overview

QA.tech is an autonomous AI testing platform for web applications, pull requests, and mobile apps. It is designed for teams that want to describe test intent in natural language and have agents validate flows across the live product instead of maintaining brittle scripts.

The product page says the agents test by intent and learn the app over repeated runs, so coverage compounds as the product changes. Across the site, QA.tech positions itself for E2E, regression, exploratory, PR, and mobile testing, with cloud execution and outputs that help teams review failures and act on them quickly.

Features

Natural-language test creation

Describe a user journey in plain English and let QA.tech shape it into a test, rather than writing or recording scripts.

Web, PR, and mobile coverage

Use the same AI testing engine across web apps, pull requests, and mobile, so coverage spans the surfaces teams change most often.

Run-level failure evidence

Test against live environments and get a video, step-by-step trace, and network and console activity for each run.

Issue creation on failure

Receive failure tickets in Linear or Jira to move from detection to follow-up without manual handoff.

Cloud execution across environments

Run tests in the cloud with no infrastructure setup, and point them at development, staging, production, or configured app builds and URLs.

Mobile testing workflow

Use mobile-specific support for iOS and Android, including React Native, Flutter, native apps, APK uploads, TestFlight, and emulator or real-device runs.

Use cases

Web application regression coverage
Use QA.tech to validate critical customer journeys such as checkout, authentication, subscriptions, dashboards, file uploads, search, and multi-user flows on the live product UI.
Pull request validation
Run tests on every PR or merge to catch breaks before staging, using the product’s PR testing and CI/CD-oriented workflow.
Mobile release testing
Exercise the same flows across iOS and Android, including React Native, Flutter, and native apps, to reduce device-specific surprises before release.
Failure review and issue handoff
Have the agents return videos, traces, and backend activity, then file Linear or Jira tickets when something fails so teams can triage without reproducing by hand.
Multi-environment QA
Use one platform across development, staging, and production, with configurable app builds, URLs, and environment-specific testing for release confidence.

Pros and Cons

Pros

Covers web, pull request, and mobile testing from one platform.
Supports intent-based testing in plain English instead of brittle scripts.
Provides failure artifacts such as video, trace, network, and console activity.
Can create Linear or Jira tickets when tests fail.
Runs in the cloud with no infrastructure setup on the product pages.
Offers plan tiers from starter usage to enterprise requirements.

Cons

Pricing and plan limits are only partially exposed on the pricing page, so exact cost planning requires a sales conversation.
Some advanced capabilities, such as custom integrations, SLA-backed support, and fine-tuned models, are reserved for higher tiers.

FAQ

Do we need to write code or give QA.tech source-code access?

QA.tech is set up from the outside: the source says agents test your product without reading your code, and the web-testing page says you can describe a flow in plain English and get test scenarios back without framework expertise.

Can QA.tech run in CI/CD and on pull requests?

Yes. The product pages say QA.tech supports PR testing and CI/CD workflows, and mobile testing explicitly mentions running tests on every PR or merge for feedback before staging.

Does QA.tech support mobile app testing?

The mobile-testing page says QA.tech supports iOS and Android flows, including APK uploads, internal testing builds, and TestFlight distributions.

What plan structure does QA.tech offer?

The pricing page lists Starter, Growth, and Enterprise plans. Starter includes one user and self-serve onboarding, Growth adds collaboration and built-in integrations, and Enterprise adds custom users, SLAs, custom integrations, and contract terms.

What does QA.tech output after a test run?

The web-testing page says runs return a video, a step-by-step trace, and network and console activity, and failures can open Linear or Jira tickets.

Quick Facts

Category: AI testing platform
Primary surfaces: Web apps, pull requests, and mobile apps
Workflow: Describe flows in natural language and run AI agents against the live product
Execution: Cloud-based runs with no infrastructure setup
Pricing: Paid plans with Starter, Growth, and Enterprise tiers; contact sales is shown on pricing
Source domain: qa.tech