One bad release can cost more than a month of QA. We embed senior automation engineers into your release cycle without the hiring overhead.
Specialists in
For engineering teams of 5–100 who ship fast and cannot afford production surprises.
We slot into your team and cover what slips through. Faster workflows, smarter coverage, no production surprises.
We evaluate your existing QA strategy, framework, and test suite. What's strong, what's fragile, what's flaky. We identify what's blocking your team from shipping with confidence.
We go beyond the test layer. We read your repos, trace your data flows, and understand how your services connect. Frontend, GraphQL, Backend, E2E. No black-box guessing.
Based on the audit and architecture analysis, we deliver a prioritized strategy: what to automate, what to refactor, what to explore, and where AI can accelerate your workflow, using Claude, Copilot, or whichever coding assistant your team already uses.
We don't just deliver a report and leave. We transfer knowledge, set up the workflows, and make sure your team can navigate quality independently.
A senior QA engineer, embedded directly in your team and working remotely. AI-augmented testing, quality best practices, zero hiring overhead. Up to 40% less than your local hiring cost. We adapt to your timezone.
We evaluate your QA framework, test coverage, and automation maturity. We identify weaknesses, flaky tests, and gaps, then deliver a concrete action plan so your team knows exactly what to fix, and in what order.
Architecture and implementation of scalable test frameworks using Playwright, Selenium, and Gatling. Shift-left integration into your CI/CD pipelines from day one.
We set up a custom AI workflow tailored to your stack. Risks surfaced before testing, manual overhead reduced, release clarity faster. Tool-agnostic.
How a live training session on AI-powered QA turned into an open-source multi-agent toolkit. 10 specialized agents that review diffs, design test scenarios, and validate features in a real browser.
Dev, QA, Ops, Support, CEO. Same release, five definitions of working. The bug lives in the gap between them. A field note on quality culture and shared responsibility.
How to set up a multi-repository workspace so your AI assistant can analyze code changes across Frontend, Backend, and QA repos, with 5 prompt templates to get full release clarity in 10 minutes.
Tell us how your team ships. We'll tell you where your releases are exposed.
Get a free outside perspective on your QA.
In 45 minutes, we'll listen to how your team ships, ask the questions your team stopped asking, and share exactly how we'd approach your setup. No agenda. Just an honest view from people who've seen a lot of broken QA processes.
Based in Morocco · Available worldwide