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QAlity

QA expertise. AI acceleration. Release confidence.

QAlity.

Ship software your users can trust

QAlity plugs experienced QA engineers into your team — building test strategy, automated coverage and release confidence around the product you already have.

Let’s talk qualitySee what we do
  • Manual and automated testing under one roof
  • Coverage you can read, run and own
  • Reports written for engineers and stakeholders

Quality engineering, delivered

Coverage you can read, run and own

Each cycle ends with a report you can share: what was covered, what failed, what the risk is and what we recommend next.

qality / release-2.14 · nightly run

Sample data

Suite pass rate

96%

141 of 147 cases

Open defects

6

2 blocking

Run duration

4m 12s

parallel, 4 workers

Coverage trend

last 12 runs

Automated regression coverage of critical user journeys.

Latest suites

  • checkout.e2e.spec.ts36 cases42s
  • auth-api.contract.spec.ts24 cases11s
  • search-filters.e2e.spec.ts18 cases58s
  • billing.regression.spec.ts51 cases—
  • a11y-keyboard.axe.spec.ts12 cases19s
Illustrative QAlity run report — sample data, not client results.

Services

Testing that covers the whole release path

Pick a single engagement or combine them into a continuous quality programme.

  • Test strategy & QA audit

    We review your current process, risk areas and release flow, then hand over a prioritised plan for what to test, when and how.

    • Risk-based test plan
    • Process & tooling review
    • Coverage gap analysis

  • Mobile app testing (iOS / Android)

    Native and cross-platform coverage with XCUITest and Espresso, run across device farms and real devices so regression is proven where your users actually are.

    • XCUITest & Espresso suites
    • Device farms & real-device regression
    • Release-ready mobile coverage

  • API & integration testing

    Backend contract testing across microservices — payloads, schemas and integration points validated before a breaking change reaches production.

    • Contract testing for microservices
    • Payload & schema validation
    • Integration-point coverage

  • CI/CD & test infrastructure

    Test execution built into your pipeline: containerised, parallelised runs with reporting dashboards the whole team can read.

    • Pipeline test execution
    • Containerised parallel runs
    • Reporting dashboards

  • Flaky test suite rescue & framework migration

    We stabilise suites nobody trusts anymore and migrate frameworks — Cypress to Playwright or WebdriverIO — without losing coverage in the move.

    • Cypress → Playwright / WebdriverIO migrations
    • Flake analysis & stabilisation
    • Coverage kept through migration

  • Embedded QA engineer

    A dedicated senior QA engineer inside your delivery sprints — in your standups, boards and reviews, owning quality end to end alongside your team.

    • Dedicated senior QA capacity
    • Embedded in your sprint rituals
    • Quality gates owned with the team

  • AI & AI-Assisted Testing

    We combine AI technologies, intelligent testing agents, and established automation frameworks to accelerate software quality engineering. We use AI where it removes grunt work — generating test cases, keeping locators current and triaging repeated failures — with an engineer reviewing every result before it counts.

    • AI test generation & maintenance
    • Locator upkeep with AI assistance
    • Failure triage & intelligent analysis
    • AI-assisted exploratory testing
    • Chatbot, RAG & LLM evaluation
    • AI safety & prompt-injection testing

    Our approach combines AI-assisted productivity with experienced QA engineers, human validation, and established quality assurance practices.

    Explore AI tools & capabilities

How we work

A predictable four-step engagement

No long discovery phases — you see useful output in the first weeks.

  1. 01

    Discovery call

    A 30-minute conversation about your product, release cadence and where quality currently hurts.

  2. 02

    Assessment & plan

    We review the product and existing tests, then propose scope, priorities and a way of measuring progress.

  3. 03

    Testing in your workflow

    We work in your tools and rituals — tickets, boards, pipelines — so QA is part of delivery, not a separate silo.

  4. 04

    Handover & iteration

    You keep the suites, documentation and dashboards. We iterate with you or step back once the team is self-sufficient.

Why QAlity

Senior QA thinking, without the hiring cycle

  • Engineers, not ticket closers

    Our team includes QA engineers, QA leads and QA tech leads — combining hands-on testing, quality strategy and technical leadership. We read the code, question requirements and push back when something looks wrong.

  • You own everything we build

    Suites, scripts, pipelines and documentation live in your repositories from day one — no vendor lock-in.

  • Readable evidence

    Each cycle ends with a report you can share: what was covered, what failed, what the risk is and what we recommend next.

  • Scales with the release

    Extra capacity for a big launch, a steady weekly rhythm afterwards. Scope flexes without restarting the relationship.

  • QA and developers, one team

    When a release needs more than testing, we bring developers alongside the QA engineers — automation, fixes and delivery covered by one team, so you coordinate one partner instead of two.

Deliverables & tooling

What lands in your repository

Concrete artefacts at the end of every engagement — nothing that only exists inside a slide deck.

Artefacts you receive

  • Risk-based test strategy document
  • Test case library mapped to features
  • Automated regression suite in your repo
  • CI pipeline configuration for test runs
  • Defect reports with reproduction steps
  • Cycle report with coverage and open risk

Tools we work with

We adopt your stack where it exists and recommend only when there is a clear reason.

  • Programming Languages & Runtime

    • JavaScript (ES6+)
    • TypeScript
    • Node.js
    • Python
    • Bash
    • SQL

  • UI & End-to-End Test Automation

    • Playwright
    • Cypress
    • WebdriverIO
    • Appium

  • API & Integration Testing

    • Playwright API
    • Supertest
    • Postman
    • Newman
    • Pact
    • REST API
    • GraphQL

  • Performance & Load Testing

    • Grafana k6
    • k6 Cloud
    • Apache JMeter
    • Lighthouse

  • CI/CD & Version Control

    • GitHub Actions
    • GitLab CI/CD
    • Jenkins
    • Git
    • GitHub
    • GitLab

  • Cloud Platforms

    • AWS
    • Google Cloud (GCP)
    • Amazon S3
    • AWS CloudWatch
    • Google Cloud Run
    • Google Cloud Monitoring

  • Infrastructure & Containerization

    • Docker
    • Docker Compose
    • Kubernetes
    • Terraform

  • Monitoring, Observability & Metrics

    • Grafana
    • Prometheus
    • OpenTelemetry
    • Loki
    • Performance Dashboards
    • CI/CD Metrics

  • Test Reporting & Code Quality

    • Allure Report
    • ReportPortal
    • SonarQube
    • ESLint
    • Istanbul/nyc

  • Test Management & Collaboration

    • Qase
    • Jira
    • Xray
    • TestRail
    • Slack
    • Microsoft Teams

Human-led. AI-accelerated.

AI & AI-Assisted Testing

We combine AI technologies, intelligent testing agents, and established automation frameworks to accelerate software quality engineering.

  • AI Assistants & Coding Agents

    • Claude & Claude Code
    • Google Gemini
    • GitHub Copilot
    • OpenAI Codex
    • Cursor

  • AI Testing Agents

    • Playwright Test Agents
    • AI-assisted test generation and maintenance
    • Intelligent test failure analysis
    • AI-assisted exploratory testing

  • AI Testing & Automation Platforms

    • Playwright, Cypress & Selenium
    • Postman & Katalon
    • Applitools
    • BrowserStack & Sauce Labs
    • Appium

  • AI Integrations & Orchestration

    • Model Context Protocol (MCP)
    • Playwright MCP
    • AI integrations with Jira, GitHub, and CI/CD pipelines

  • LLM & AI Application Testing

    • Promptfoo & DeepEval
    • Chatbot and RAG evaluation
    • Hallucination and response-quality testing
    • AI safety and prompt-injection testing

  • AI Knowledge & Documentation

    • NotebookLM
    • AI-assisted requirements analysis
    • Test documentation and knowledge management

Our approach combines AI-assisted productivity with experienced QA engineers, human validation, and established quality assurance practices.

Discuss your AI testing

FAQ

Questions we get before the first call

How quickly can you start?

Most engagements begin within one to two weeks of the discovery call, once scope and access are agreed.

Do you work with our existing tools?

Yes. We adopt your stack, repositories, boards and CI. If we recommend a change, we explain the trade-off first and leave the decision with you.

Can you work alongside our in-house QA?

Often that is the best setup. We add capacity or specialist skills — automation, performance, accessibility — and share practices with your team as we go.

What does an engagement cost?

Pricing depends on scope and duration. After the discovery call you receive a written proposal with a fixed scope or a monthly capacity rate.

Do you sign NDAs and work with sensitive data?

Yes. We sign your NDA before receiving access and test against anonymised or synthetic data whenever production data is involved.

What happens after the engagement ends?

Everything we built stays with you, together with a handover session and documentation so your team can run and extend it.

Your next quality move

Tell us what you're shipping

Send a short brief and we'll come back within two working days with next steps or questions. No obligation, no sales sequence.

contact@qality.ro

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