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For your role / Engineering leaders

Ship on cadence, with coverage that survives change

You own delivery dates, a regression suite that grows every sprint, and whatever security finds after the fact. Here are the four jobs engineering leaders hire us for, the evidence to check us against, and the ways an engagement can run.

The jobs we get hired to do

01

Keep the release calendar honest

A regression suite that takes days to run, or fails for reasons nobody investigates, quietly sets your real release cadence. Our engineers work in the frameworks your team already uses (Playwright, Selenium, Cypress, Appium, and JMeter among them), and VirtueATLAS adds AI-assisted authoring with self-healing execution, so suite maintenance stops eating the sprint. It runs where your pipeline lives: Jenkins, GitHub, GitLab, Azure DevOps, and Jira.

02

Add capacity without a six-month hiring cycle

Hiring senior SDETs means recruiting, ramp, and management overhead before the first stable build of the suite. A managed team arrives already staffed from a bench of 100+ security and quality engineers, with named leads and delivery ownership on our side of the table. Before you talk to us or anyone, put your own figures through the cost calculator; it prefills no vendor prices and shows all of its math.

03

Make security findings stay fixed

When testing and security live in separate vendors, a pentest finding gets fixed once and can quietly regress two releases later. Because both practices run under one roof here, an exploitable finding becomes a permanent regression test and its indicators become detection content. That loop is the reason engineering leaders keep the two practices together.

04

Stand up capability your team ends up owning

Bodies on a roster leave nothing behind. A Test Center of Excellence engagement ends with documented standards, toolchains your team owns, and a maintenance playbook, then runs by us, co-run, or handed over entirely once it is self-sustaining. Knowledge transfer is the exit criterion, so the capability survives the engagement.

Evidence to check us against

You will find no QE outcome percentages on this site, because we have measured none we could defend in front of your team. What we publish instead is delivered scope, on the record, plus the tools to reason about cost yourself.

Automotive QE + DevOps

A standing team running the ATLAS automation suite inside the delivery pipeline, with DevOps, DBA, and manual testing under one accountable partner.

Read the case study

Banking automation + performance + security

Automation coverage of critical paths, a performance baseline under modeled load, and security testing, delivered by one partner for a banking-sector software provider.

Read the case study

QE cost calculator

In-house hires, hourly contractors, and a managed team compared on your own numbers, with every formula in the open and nothing prefilled by us.

Run your numbers

Evidence register

Every factual claim on this site is checked against a maintained register before it ships. If a number matters to your decision, ask to see its row.

See how claims are checked

Three ways an engagement can run

A scoped project

A suite build, a coverage push, or a performance baseline with a defined start and end. Good for testing how we work before anything standing.

Quality engineering services

A managed team

Standing capacity with named leads, delivery ownership, and knowledge transfer at exit. The model both case studies above run on.

How managed teams work

A TCoE you inherit

We build the standards, the toolchain, and the playbook, then hand them over when the practice is self-sustaining. Dependence is never the business model.

The TCoE engagement

Bring your release calendar

A working session with a QE lead on your suite, your coverage, and your cadence, and what a standing team would change first.