Framework engineering
A layered framework in your stack (page objects or screenplay, API-level setup, parallel-safe execution), designed so your team can extend it without us.
Quality Engineering
Test automation that doesn't rot
The suite went red on Tuesday, someone reran it until it went green, and the release shipped anyway. That ritual is how automation dies. We engineer suites for the day after they're written (locators that survive UI change, test data that behaves, failures worth investigating), because writing tests is easy and keeping them honest is the actual job.
Independent quality engineering & cybersecurity since 2020, with 100+ security & quality engineers, delivering on platforms we build and run ourselves.
A distrusted suite is a standing cost with no return: it burns CI minutes, trains engineers to ignore red, and lends release decisions a confidence nobody in the room actually holds. The bill arrives as production defects a green pipeline swore couldn't exist.
Why suites decay
A maintained suite versus a rotting one
Automation earns or loses a team's trust in what happens after the UI changes.
A rotting suite
- Locators break on every UI change; failures pile up unread
- Test data is brittle and environment-coupled
- Red builds get rerun until they pass; nobody reads the failure
- Coverage is measured by counting test cases, whether or not they sit where the risk is
- Engineers quietly route around it
A suite engineered to last
- Self-healing locators absorb UI change; every repair gets human review
- Deterministic, environment-independent test data
- Staged CI gates fail for reasons the team trusts
- Coverage ranked by where risk actually lives
- Security findings become permanent regression checks
What we build so the suite lasts
AI-assisted authoring & self-healing
Where it genuinely helps, we bring in VirtueATLAS for AI-assisted test authoring and self-healing locators that survive UI change. The AI drafts and repairs; engineers review every change, and the hours that went into repair go back into coverage.
Test-data management
Deterministic, environment-independent test data, with builders, seeding strategies, and masking for production-like sets. This is the layer most flaky suites are missing.
CI/CD integration
Suites wired into Jenkins, GitHub Actions, GitLab, or Azure DevOps with staged gates: fast smoke on every commit, full regression where it earns its runtime.
How it’s delivered
01
Assess
Review your current suite, flake rate, coverage, and pipeline: what's worth keeping, what isn't.
02
Architect
Framework design and a coverage plan ranked by risk, agreed before the first test is written.
03
Build
Iterative delivery in sprints; every test reviewed, tagged, and running in CI from week one.
04
Handover
Docs, pairing sessions, and a maintenance playbook, or we stay on as the automation team.
Tools & standards
- Frameworks our engineers work in
- Playwright, Selenium, Cypress, Appium, REST Assured, Postman/Newman
- Pipelines
- Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Jira integration
- Platform acceleration
- VirtueATLAS: AI-assisted authoring, self-healing execution
What you receive
- A maintainable automation framework your team owns
- Risk-ranked coverage plan and traceable test inventory
- CI/CD pipelines with staged quality gates
- Flake-rate and coverage reporting that goes beyond pass/fail counts
- Handover documentation and pairing sessions
Engagement
Ways to engage the same senior bench
Buy it as a scoped project, embed it in your team, or run it as a managed service. The engineers and the governance stay the same, whichever shape fits.
Framework build
We design and build the automation framework in your stack, then hand it over with documentation and pairing.
Embedded QE
Our engineers run inside your sprint teams, on your tools and cadence.
Managed automation
We own and maintain the suite as an ongoing service, with flake and coverage reporting.
Who this is for
- Heads of QA whose regression suite takes days and fails for reasons nobody investigates
- Engineering leaders scaling from manual to automated testing without a framework to build on
- Teams whose last automation vendor left behind tests nobody can maintain
Proven here
Teams we've delivered this for
- A banking-sector software provider
- An automotive company
Engagements shown by industry; client identities are kept confidential.
Common questions
Do you use your own tools or ours?
Yours. We build in frameworks your team can maintain after we leave (Playwright, Selenium, Cypress, Appium, REST Assured). VirtueATLAS accelerates authoring and self-healing where it helps, but you are never locked into it.
What happens to the suite when the engagement ends?
You own it. Handover includes the framework, documentation, CI integration, and a maintenance playbook, or we continue as your managed automation team, your choice.
Who actually does the work?
Senior engineers from our own bench: 63% hold industry certifications (CISSP, CEH, eCPPT, ISTQB, AWS). The people who scope your engagement are the people who run it; there is no rotating offshore bench behind the proposal.
One practice, one loop
This is one stage of a single assurance loop: findings become regression tests, and their indicators become live detections, so a problem, once fixed, can’t quietly come back. A stack of separate vendors has no way to close that loop. See how the loop connects →
Find out why the suite keeps going red
Evaluate your QE maturity with the engineers who build suites for the day after handover. An hour on your framework, flake rate, and pipeline tells you what to keep and what to rebuild.