More flow. Less flake.

QA.tech tests goal-driven user journeys with AI.
Keep code velocity without losing product quality.

Book a Demo

Start Testing

End-to-end testing with AI
for a modern dev workflow

Your team ships fast with AI. But can it keep up with testing?
Match their output with AI agents that acts like your actual users.

Test full user journeys, not scripted paths

Run E2E tests with AI across your product – from 3rd-party apps to email verification. Catch what’s broken and missing for your users.

Instant feedback for your code and product

No infrastructure needed. Just point the QA.tech agent towards your environment to get PR reviews and exploratory tests up and running.

Ship on schedule without post-release surprises

Shorten the Dev <> QA feedback loop to save time in your development process. Reduce handoff and keep your team aligned with the roadmap.

We have replaced over 320h of manual testing every month with QA.tech.

Fredrik Seidl – CTO

Upsales is a SaaS platform for CRM, marketing automation & Sales in B2B. ~150 employees.

More flow, less flake

Catch bugs early, retrace flows step by step, and avoid flaky tests.
Cover new cases with agents that explore your product like your users do.

Ask the AI what to test next

Tell the AI what you need in plain English. Get new E2E test ideas and let it run exploratory tests to increase your coverage.

Get actionable feedback

A great test report is more than just pass/fail status. Get actionable feedback on how to make your product better.

Use logs that actually help

Retrace broken paths step by step. Debug issues with console logs that show you what broke, where, and why.

Pricer saves 390h of testing each quarter.

Chris Chalkitis – Chief Digital Officer

Pricer is a world leading electronic shelf label provider. ~200 employees.

Test beyond the happy path

Every user journey runs through a web of APIs, queues, and integrations your users never see — but you still have to test them all.

Say goodbye to flaky tests

Set recurring tests for any flow. The AI runs each journey multiple times to eliminate flakiness and ensure reliable results.

Built for the tools your team loves

Get feedback in GitHub, Slack, Linear, and more. Trigger tests via CI, monitor with Prometheus, or extend custom systems via API.

1. AI vs Human QA study (September 17, 2024).

Stop testing scripts.
Start testing experience.

The old way of scripted testing can’t keep up with the speed of your AI-powered
dev team. Test with AI and bring balance back to your workflow.

Features

QA.tech

Manual

Traditional E2E Tests

Identifies new test cases

Automatic

Ensures up-to-date tests

Detects non-functional issues

Bug detection rate

95%

80%

Only pass/fail

Seamlessly integrates with your CI/CD

Fast PR feedback in CI/CD

Supports exploratory testing

80%

Reports bugs to your ticketing system

Compatible with any web framework

Test creation time

5 min

1 hour

8 hours

Test suite run time (read blog post)

5 min

1 hour

8 hours

Average monthly cost

$1,000¹

$2,400¹

$500¹ + weeks of engineering time

Loved by developers

Since QA.tech flips the entire QA process on it's head, a lot has changed. We no longer require nearly as much manual QA-testing as we did before, which in turn allow us to test more of our app

Marcus Engvall

Developer

Airpelago

Overall experience is really good. I really enjoy the ease of creating e2e-tests and running them using AI. I believe we wouldn't need to staff up on QA for a very long time, thanks to you guys.

Johan Dahl

CTO

Walk the Room

The web browsing agent powering QA.tech is the best one I've experienced in the wild so far.

Jesper Norberg

Senior Engineer

Meta

I really love QA.tech, I can now engage UX & PM's to build test scenarios through a prompt and let the agent do the rest, the most interesting finding so far is that it found a UX bug we have had for over a year that we never noticed

Lezgin (lerra) Zilan

CTO

qred

Looking for LLM-based QA since GPT-3.5, because at Luden.io as a 15 devs studio we're obsessed with automated testing. Surprisingly, this is the very first model that figured out how to test our video games by using WASD movement and performing in-game actions.

Oleg Chumakov

CEO

Luden.io

Traditionally end-2-end tests require a relatively big amount of manual maintenance, while QA.tech's tests evolve automatically as the product is developed.´

Jacob Klapwijk

Developer

StartupTools

Getting started with QA.tech's tests is currently very easy, both to initiate a test suite and to integrate it with an existing CD/CI environment.

Johan Lindholm

CTO

Triggerbee

QA.tech's agent learns our site like a human would, giving us realistic regression testing without constant maintenance or hand-holding. This modeling approach has also caught UX inconsistencies when features don't match existing patterns in our app

Zach Mullen

Full Stack

Developer

The fact that QA.tech acts more like a human and reasons about the UI offers more relevant feedback than having a robot instantly press a button that you told it to press.

Maximilian Schön

CTO

Solkoll.se

We save precious engineering time, empower product to contribute directly, and rely far less on manual QA—letting us test more of our app and trust that changes in one market won’t harm another