QA.tech
QA.tech offers an AI-driven solution aimed at improving the quality of software through automated quality assurance (QA) testing. The AI to...
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What is QA.tech?
QA.tech is an AI-powered autonomous testing platform that automates end-to-end quality assurance for web and mobile applications. It uses specialized AI agents that act like real customers to run dynamic regression and exploratory tests, validating web and mobile releases without requiring manual test writing or maintenance. The platform provides continuous validation across the entire software development lifecycle, from PR checks to production runs, monitoring every commit to help engineering teams accelerate their release cycle without compromising quality standards.
Key features include building tests in plain English through a chat interface, context-aware PR reviews that automatically test pull requests with Vercel previews, detailed debugging insights with screenshots and logs, cloud-native execution requiring no infrastructure management, and framework-agnostic coverage that works with React, Vue, Angular, and native mobile apps without requiring code access. The platform saves engineers an average of 320 hours per month on QA time while delivering a projected ROI of 529% with a 3-month payback period.
QA.tech is designed for high-performing engineering teams, developers, QA engineers, and product teams that ship software fast and need to stay safe. It's particularly valuable for teams moving from scripted automation to agentic testing, organizations wanting to reduce test maintenance overhead, and enterprises needing SOC 2 compliant testing with SSO/SAML support. The platform is backed by $5 million in funding and trusted by engineering teams at multiple companies.
The tool eliminates the
QA.tech pricing
Pricing model: Paid
QA.tech offers three paid plans with no free tier. Starter plan: For individuals and small teams, 1 user, 3 parallel test runs, standard model access, 2 environments, exploratory testing, 30-day test data retention, self-made integrations, self-serve onboarding, email support, SOC 2 compliance. Growth plan (Popular): For product teams needing deeper coverage, up to 5 users, custom parallel test runs, standard model access, custom number of environments, multi-application test flows, mobile testing, exploratory testing, PR testing, coverage reports, test execution performance reports, 90-day test data retention, built-in integrations, guided PoC and onboarding, Slack/Teams/email support, SOC 2. Enterprise plan: For organizations with advanced security needs, custom users count, unlimited parallel test runs, fine-tuned model option, unlimited environments, multi-application test flows, mobile testing, exploratory testing, PR testing, quicker test runs, coverage reports, test execution performance reports, custom test data retention, custom integrations, guided PoC and onboarding, SLA-backed dedicated support, SOC 2, custom security review, priority reliability engineering, custom contract terms and payments. All plans require contacting the sales team ('Talk to us').
QA.tech pros
- No test maintenance required - suite survives refactors and redesigns
- Build tests in plain English through chat interface
- 320 hours per month QA time saved on average
- 529% projected ROI with 3-month payback period
- Cloud-native execution - no infrastructure to manage
- No code access required - tests from outside your application
- Framework-agnostic - works with React, Vue, Angular, native mobile
- Context-aware PR reviews with automatic GitHub integration
- Detailed debugging with screenshots, logs, and network activity
- SOC 2 compliant with SSO and SAML support
- Dynamic visual testing - no selectors or scripts needed
- Catches regressions before merge and validates deploys
- Supports web, mobile web, iOS apps, and Android apps
- Exploratory testing discovers edge cases automatically
- Time to root cause drops from hours to minutes
- $4M+ total saved for customers
- Agents adapt as product evolves without test rewriting
- Built-in integrations for Slack, Teams, and email support
QA.tech cons
- No free tier available - all plans require payment
- Starter plan limited to 1 user only
- Starter plan has only 3 parallel test runs
- Test data retention limited to 30 days on Starter
- Mobile testing only available on Growth and Enterprise plans
- PR testing only available on Growth and Enterprise plans
- Standard model access on Starter and Growth (fine-tuned only on Enterprise)
- Self-serve onboarding and self-made integrations on Starter plan
Frequently asked questions about QA.tech
What is QA.tech and what does it do?
QA.tech is an Autonomous AI testing platform that enables you to get great test coverage without any manual labor. It uses specialized AI agents to test your application like humans would, but faster and more thoroughly. The system automatically routes testing tasks to the right agent based on context without manual configuration needed. QA.tech provides continuous validation across your SDLC from PR checks to production runs, monitoring every commit to help you accelerate your release cycle without compromising standards.
How does the AI agent system work?
QA.tech uses specialized AI agents with three main entry points: Chat Assistant for interactive testing and test creation, PR Review for autonomous testing of every pull request (automatic on PR open/update), and On-Demand PR Testing for deep testing with custom instructions using @qatech mentions. When you open a PR, the system automatically detects changes, classifies them as user-facing or docs-only, assesses coverage gaps, generates new tests for untested features, and executes them against PR preview environments. This entire workflow runs autonomously without human intervention.
When should I use AI agents versus scripts?
Use AI agents for exploratory testing (best - discovers edge cases through varied behavior), regression testing (good - handles UI changes gracefully), testing multiple user flows (best - tries different approaches automatically), form filling with realistic data (best - understands context), testing preview environments (best - automatic PR reviews), and first-time test coverage (best - AI Chat Assistant sets up quickly). Use scripts for exact same steps every time (best - fully deterministic), regression testing when fastest execution is needed (best), and complex calculations (best - precise math). In practice, most teams use a combination: AI agents for exploration and edge cases, scripts for critical deterministic flows, and manual QA for subjective evaluation.
What AI model does QA.tech use for test execution?
QA.tech uses Claude Haiku 4.5 as the default AI model for test execution. This model provides the fastest test execution while maintaining high-quality results and is recommended for day-to-day testing. For complex scenarios requiring deeper reasoning, you can use Claude Sonnet 4.5 which has moderate speed. The AI model handles all test execution decisions including navigating your application, filling forms, clicking buttons, and verifying outcomes. You write test goals in natural language, and the model figures out how to achieve them. You can override the agent per-test in Advanced settings when creating or editing a test.
Does QA.tech require access to my code or repository?
No, QA.tech does not require access to your code. It tests your product from the outside without touching your code or requiring repo access. This means you can skip lengthy approval processes and security reviews, starting testing in minutes. QA.tech tests your product without reading your code, and your data is never used to train models. This no-source-code-review-needed approach makes it built for enterprise security reviews and eliminates the need for lengthy security review processes that traditional testing tools require.
What platforms and applications does QA.tech support?
QA.tech supports Web, Mobile Web, iOS Apps, and Android Apps. It provides E2E UI testing, PR testing, dynamic testing, mobile native testing, cross-device testing, regression testing, API testing, and email/SMS testing. The platform is framework-agnostic, working with React, Vue, Angular, and native mobile applications without requiring any stack change or test rewrite. It can test any website, any web platform, or anything accessible through a web browser regardless of the platform.
How does QA.tech integrate with GitHub and PR reviews?
QA.tech connects to GitHub through a dedicated GitHub App for automatic PR reviews. When you connect GitHub, agents pick up every PR with its Vercel preview and automatically run dynamic tests. The system provides fast feedback with failure breakdowns, screenshots, and explanations. You can also use On-Demand PR Testing by mentioning @qatech in PR comments for deep testing with custom instructions. QA.tech can be integrated through GitHub Actions for CI/CD workflows, and it posts GitHub reviews with results automatically. The integration includes built-in support for Vercel Preview protection configuration.
What security and compliance features does QA.tech offer?
QA.tech is SOC 2 compliant with SSO and SAML support for enterprise security. Your data stays private and is never used to train models. The platform is built for enterprise security reviews and requires no source-code review since it tests from the outside without repo access. There is no vendor lock-in as test definitions stay portable and open for full flexibility. Enterprise plans include custom security review, SLA-backed dedicated support, and priority reliability engineering. The cloud-native execution runs entirely in QA.tech's secure cloud without requiring you to manage infrastructure.
What integrations does QA.tech provide?
QA.tech provides built-in integrations for Slack, Microsoft Teams, and email support on Growth and Enterprise plans. Starter plan has self-made integrations. Enterprise offers custom integrations. The platform integrates with Jira and Linear for exporting issues to manage from the AI Chat Assistant. It also supports Trello for exporting detected issues. For notifications, QA.tech integrates with Microsoft Teams channels and Slack workspaces for AI-powered testing assistance. Status badges provide visual indicators for project test status. CI/CD integration allows triggering tests from deployment pipelines, and remote tunnels enable exposing local servers for testing.
What is the ROI and cost savings of using QA.tech?
QA.tech delivers a projected ROI of 529% with a 3-month payback period. Customers have saved over $4M total using the platform. The average QA time saved is 320 hours per month. The platform provides quality that pays for itself and then some by replacing high-stress release scrambles with a predictable validation layer. Engineers stop babysitting brittle scripts and get back to shipping features, focusing on building while agents handle validation. This results in certain results on every PR instead of debugging unstable automation, making deploys boring and predictable.