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
Most automation suites decay: locators break with every UI change, data setup is brittle, and the team quietly stops trusting red builds. We build automation engineered for maintenance — because writing tests is easy, and keeping them honest is the actual job.
A suite the team doesn't trust is worse than no suite: it burns CI minutes, trains engineers to ignore failures, and gives release decisions false confidence. The cost shows up as production defects that a green pipeline said couldn't exist.
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.
Where it genuinely helps, we use VirtueATLAS: AI-assisted test authoring and self-healing locators that survive UI change. The AI drafts and repairs; engineers review every change.
Deterministic, environment-independent test data: builders, seeding strategies, and masking for production-like sets — the layer most flaky suites are actually missing.
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.
01
Review your current suite, flake rate, coverage, and pipeline — what's worth keeping, what isn't.
02
Framework design and a coverage plan ranked by risk, agreed before the first test is written.
03
Iterative delivery in sprints; every test reviewed, tagged, and running in CI from week one.
04
Docs, pairing sessions, and a maintenance playbook — or we stay on as the automation team.
Walk through your suite, coverage, and release cadence with a QE lead.