Requirement Analysis
We read your specs and click through your product first. Then we list the features where a bug would cost you the most, and start there.
Test Cases Written
Devices & Browsers Covered
Releases Signed Off
Bugs Caught Before Release
Real people click through every screen, form and permission rule in your app, the same way your customers will.
We turn your slow regression checks into scripts that run on every commit. A two day test pass becomes fifteen minutes.
We push your app until something gives, then tell you what broke first and how to fix it before a traffic spike does.
We check logins, permissions, data handling and your dependencies for the holes attackers look for.
Every endpoint gets checked for the right response, the wrong input and the odd edge case, right inside your pipeline.
We test on real phones and real browsers, so your app looks and feels right outside your team's laptops.
We read your specs and click through your product first. Then we list the features where a bug would cost you the most, and start there.
You get a plain plan in writing. What we test by hand, what we automate, which devices and browsers we cover, and when we call a release ready.
We write out every case before we run it. The happy path, the wrong input, the empty state and the edge case nobody thought about.
We run the cases on real builds. Every bug comes with steps to reproduce it, a screenshot, the logs and how badly it hurts.
Once a test is stable, it moves into an automated suite that runs on every pull request inside the pipeline you already use.
At the end you get one report. What we covered, what passed, what is still open, and whether we think you are ready to ship.
Most test suites we inherit are top heavy. Hundreds of slow browser tests that fail for no reason, and almost nothing underneath. We flip that around so bugs get caught at the cheapest level.
No jargon. A short document that says what we are testing, on which devices, in what order, and what has to pass before you ship.
Steps to reproduce, a screenshot, the logs and a clear severity. Your developers should never have to ask us what we meant.
The scripts live in your repo and run in your pipeline. If we part ways tomorrow, your tests keep running.
At the end we tell you plainly whether the build is safe to ship, and what the risk is if you ship anyway.
We reproduce it on a known build, then write it up with steps, logs, screenshots and the exact environment.
We agree how bad it is with your product owner and put it in the right sprint. Nothing sits in limbo.
Your developers push the fix. We read the change against the scenario that failed in the first place.
We run the same steps again, plus the tests around whatever the fix touched.
Verified, written down and added to the automated suite so the same bug cannot come back quietly.
Manual and exploratory testing, automated regression, performance and load testing, security checks, API testing, and testing across browsers and real devices. Most clients start with two or three of these.
We automate the boring parts. Anything repetitive that runs on every release goes into scripts. Exploratory work, usability and odd one off scenarios stay with a human, because that is where people beat machines.
Yes. We plug into GitHub Actions, GitLab CI, Jenkins, CircleCI and most others, so every pull request gets checked before anyone merges it.
A full audit of an existing product usually runs two to four weeks. If you want us long term, we work in sprints alongside your developers.
A test plan, the test cases with pass and fail results, a bug report your developers can act on, the automation scripts in your own repo, and a summary telling you if the build is ready.
Yes. Our engineers can sit in your stand ups, use your board and report to your leads. We usually ask for three months so the team learns your product properly.
Send us the release that went wrong, or the test suite nobody trusts any more. We will come back with a plan, a rough timeline and an honest answer about how much testing you actually need.