What QA.tech does

QA.tech is a Stockholm-based SaaS company, founded in 2023, that has built an autonomous AI-powered quality assurance testing platform. Its product deploys AI agents that navigate web and mobile applications the way a real user would — using computer vision and DOM reasoning rather than brittle selectors — to execute dynamic regression tests, exploratory tests, and pull-request validation without requiring scripted test maintenance. Users describe test flows in plain English via chat, and the agents accumulate contextual knowledge about each application that compounds over time, allowing the test suite to survive UI refactors, redesigns, and framework migrations. The platform integrates natively with GitHub and Vercel to deliver context-aware PR reviews with screenshots, console logs, and failure reasoning embedded directly in the developer's existing workflow.

The product surface extends beyond web E2E testing to include native iOS and Android mobile testing, API testing, email/SMS testing, and cross-device testing. A Model Context Protocol (MCP) integration allows external AI agents and AI-native development tools to consume QA.tech's testing capabilities. The platform runs entirely in QA.tech's secure cloud (no infrastructure or code access required from customers) and is SOC 2 Type II compliant with SSO/SAML support — a prerequisite for winning regulated enterprise customers.

QA.tech operates a hybrid go-to-market combining a self-serve, product-led growth funnel (engineers sign up and create tests in plain English without sales intervention) with an enterprise field-sales motion (solutions-engineer-led demos, quote-based pricing, SOC 2-grade security). The company has not publicly disclosed pricing or revenue, but lists 35+ customer logos spanning banking (Nordea), pharmaceuticals (AstraZeneca), retail tech (Pricer), CRM SaaS (Upsales), fintech (Qred, Sambla), and developer tools (Lovable). Backed by approximately $4.26M in disclosed funding across a $1M pre-seed (byFounders, September 2023) and a $3.26M seed (byFounders, PROfounders Capital, Curiosity VC, May 2024), the company remains at an early stage with 1-10 employees and is led by co-founders Daniel Mauno Pettersson (CEO/CTO), Marcus Carloni (COO), Patrick Lef (CPO), and Vilhelm von Ehrenheim (CAIO).

Name

QA.tech

Legal name

QA.tech

Website

https://qa.tech

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

QA.tech is a Stockholm-based SaaS company that provides an AI-powered autonomous testing platform using vision-based and natural-language agents to run regression, exploratory, and pull-request tests on web and mobile applications, primarily serving software engineering teams.

Ownership category

akta.pro rank

Product category

AI-Powered Software Testing / QA Automation

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Quality Engineering & Test Automation (QE/QA) (BPAEAFAJ)

akta.pro secondary industries

Testing, QA & Release/Deployment Enablement (BPAEAAAN), Enterprise Application Testing & QA Services (BPAEAGAI)

Keywords

• AI testing platform
• QA automation software
• Autonomous testing agents
• End-to-end testing
• Software quality assurance

Headquarters

HQ city

Stockholm

HQ country

Sweden

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription (per project/app): QA.tech operates as a cloud-based SaaS platform charging subscription fees for access to the AI testing agent platform. Pricing is not publicly disclosed and appears to be quote-based/negotiated per project or team size. The company targets engineering teams at companies of various sizes, with enterprise deals pursued via sales-assisted motion alongside a self-serve entry point.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

QA.tech is a cloud-native SaaS platform that uses AI agents to autonomously navigate and test web and mobile applications the way a real user would. Engineers describe test flows in plain English via chat, and agents run dynamic regression, exploratory, pull request, mobile, API, and cross-device tests without requiring code access, scripts, or local infrastructure.

Product overview

QA.tech is an AI-powered autonomous QA testing platform built around a core product-plus-modules architecture. The core QA.tech Platform uses AI agents to run dynamic regression and exploratory tests continuously across the SDLC. It is complemented by dedicated product modules: Mobile Testing for native iOS and Android apps, PR Testing for automated pull request validation via GitHub/Vercel integration, and MCP (Model Context Protocol) for connecting external AI tools to the testing platform. Key capabilities include Chat-Driven Test Creation (natural language test authoring), Dynamic Visual Testing (vision-based UI validation without selectors), Context-Aware PR Reviews (automated PR feedback), Detailed Debugging Insights (screenshots, logs, and agent reasoning), and specialized testing types covering E2E UI, Regression, API, Email/SMS, and Cross-Device scenarios. The platform is framework-agnostic (supporting React, Vue, Angular, and native mobile), runs entirely in a secure cloud with no infrastructure required from customers, and SOC 2 compliant with SSO/SAML support.

Differentiator

Problem solved

Functional benefit

Products and services

• QA.tech Platform AI-powered autonomous QA testing platform that uses AI agents to run dynamic regression and exploratory tests continuously across the software development lifecycle, from pull request checks through production runs. Designed for engineering teams at SaaS, B2B software, and enterprise technology companies that ship frequently.
• Mobile Testing AI-driven mobile application testing capability for native iOS and Android apps. Agents autonomously validate functionality, UI, and user interactions without requiring customer-operated device labs or manual device switching.
• PR Testing Automated pull request testing that connects to GitHub and Vercel preview deployments. QA.tech agents pick up every pull request, run dynamic tests against the preview, and post failure breakdowns, screenshots, and explanations directly in the PR review.
• MCP (Model Context Protocol) Model Context Protocol integration that enables external AI agents and AI-powered development tools to connect to QA.tech for test automation, allowing third-party AI systems to leverage QA.tech's autonomous testing capabilities via the MCP standard.

Quantifiable outcome

• Replaces 320+ hours of manual QA per month (Upsales case study)
• +5 more outcomes

Named customers10 records

Segments3 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability7 records

Feature7 records

Partnerships

Three partnerships are on record, tiered core.

• Vilhelm von Ehrenheim (AI Expert / CAIO)coreOthers · 10 November 2023Vilhelm von Ehrenheim joined QA.tech as CAIO (Chief AI Officer) in November 2023. An AI expert who brings deep technical expertise in machine learning and AI to the founding team, strengthening the company's core AI testing technology development.
• GitHubcoreTechnology or IntegrationQA.tech integrates with GitHub to automatically run dynamic tests on every pull request, posting results as PR comments with failure breakdowns, screenshots, and explanations. GitHub is a core distribution and integration channel for the product.
• VercelcoreTechnology or IntegrationQA.tech connects to Vercel preview deployments and automatically runs tests on preview URLs associated with pull requests. This enables context-aware PR reviews where agents pick up every PR alongside its Vercel preview for immediate validation.

Scale indicators9 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Mabl: Mabl is a cloud-native, AI-driven end-to-end testing platform that runs automated tests without scripts. It is the closest direct competitor to QA.tech in the 'AI testing agent' category, targeting engineering teams at SaaS and software companies with similar self-serve and enterprise motion.
• QA Wolf: QA Wolf combines AI-augmented testing with a human QA service overlay to deliver a high-coverage alternative to in-house QA. It competes with QA.tech for engineering teams seeking to outsource or automate end-to-end regression and exploratory testing.
• Testim (Tricentis): Testim, now part of Tricentis, is an AI-based end-to-end testing platform with stable locators and self-healing tests. It overlaps directly with QA.tech's adaptive regression and selector-free testing value proposition for SaaS engineering teams.
• Functionize: Functionize is an AI-powered test automation platform using natural language and machine learning to author and maintain tests. It is a direct peer in the AI-driven end-to-end testing category serving enterprise engineering teams.
• testRigor: testRigor enables plain-English test authoring and AI-driven automation for web, mobile, and API testing. It is a direct peer competing on the same 'no-code, natural-language, AI-agent' positioning that QA.tech uses.
• Applitools: Applitools is a visual AI testing platform that uses computer vision to validate UI across releases. It is a direct peer to QA.tech's vision-based dynamic testing approach, particularly for the visual regression and exploratory testing use cases.
• Reflect: Reflect is a no-code, AI-assisted end-to-end testing tool for web applications. It targets the same SaaS engineering teams with self-serve test creation and is a direct peer in the modern AI testing category.

Broad incumbents

• Cypress: Cypress is a widely adopted open-source JavaScript-based end-to-end testing framework. It is the incumbent default against which QA.tech explicitly competes (comparison page on QA.tech) and is the broad incumbent whose 'selector maintenance tax' QA.tech's vision-based agents aim to eliminate.
• Playwright: Playwright is Microsoft's open-source cross-browser automation framework. It is a broad incumbent in scripted end-to-end testing and a primary competitive reference for QA.tech, which positions its AI agents as an alternative to Playwright's code-driven approach.
• BrowserStack: BrowserStack is a large-scale testing infrastructure and platform provider spanning manual, automated, and visual testing across browsers and devices. It is a broad incumbent that overlaps with QA.tech's cross-device and cross-browser testing capabilities within a much larger testing portfolio.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/qa-tech-ai
• Xx.com/getqatech

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about QA.tech