Ship on Friday. Sleep on Saturday.
Quality is a process that runs on every commit. We build automated regression, load and security testing into your CI — and evals for your AI features, so you know they work before your users find out they don't.
Book a Quality AuditThe stack behind our test suites
How we build quality in
Eight steps from risky releases to boring ones.
Testing at the end of a project catches bugs when they're most expensive to fix. We move quality upstream: audit what you have, automate what matters most, and wire everything into your pipeline so every merge gets checked without anyone having to remember.
Audit the current state
We map your codebase, existing tests, bug history, and release process. Two weeks in, you have a report that says exactly where your risk lives.
Test strategy by risk
A checkout flow failing costs more than a typo on the about page. We rank features by business impact and failure probability, then test in that order.
Automate critical regression
The bugs that keep coming back get automated first. Unit, integration, and e2e tests for the flows that would hurt most if they broke.
Wire into CI/CD
Quality gates in your pipeline: a merge that breaks a critical flow doesn't merge. No manual checklists, no relying on memory.
Performance and load testing
We simulate real traffic patterns — peak hours, spikes, sustained load — and find your breaking point before a marketing campaign does.
Security testing
Vulnerability scanning, dependency audits, and abuse-case testing on authentication, payments, and anything that touches user data.
Evals for AI features
If your product has an LLM, we build golden datasets and automated evals that catch prompt regressions and quality drift. Almost nobody in Latin America offers this.
Metrics and continuous improvement
Escaped bugs, flaky test rate, coverage of critical paths, time to detect. We track what matters and tune the suite as your product evolves.
What's included
Concrete deliverables, not a slide deck about quality culture.
Automated regression suite
Tests that run on every commit and catch the bugs you've already fixed once. They stay green or the build stays red.
E2E tests for critical flows
Signup, checkout, payments, core workflows — tested end to end in a real browser, the way your users actually use them.
Load tests with real scenarios
Traffic scripts modeled on your actual usage patterns, not synthetic hello-world requests. You get your real capacity limits in writing.
Vulnerability scanning
Automated scans of your code, dependencies, and infrastructure, triaged by a human so you fix real risks instead of chasing noise.
AI evals with golden datasets
Curated input-output datasets for your LLM features, run automatically so a prompt change can't silently degrade quality.
Quality gates in CI
Pass/fail criteria enforced by the pipeline. Broken critical paths block the merge — no exceptions by Slack message.
Actionable reports
Every finding comes with severity, reproduction steps, and a suggested fix. Your developers can act on it the same day.
Risk matrix
A living map of your features scored by impact and failure likelihood. It decides what we test next, and you can read it in five minutes.
Compatibility testing
Browsers, devices, and screen sizes your real users are on — verified against your analytics, not a generic list.
Managed test data
Realistic, anonymized datasets for every environment. Tests stop failing because someone deleted the demo user.
Test case documentation
Every scenario documented and versioned in your repo. If we leave tomorrow, your team keeps everything.
Team training
We teach your developers to write, run, and extend the suite. The goal is a capability you own, not a dependency on us.
Why QA pays for itself
The math on production bugs is brutal.
A bug caught in CI costs minutes of a developer's time. The same bug in production costs an incident, a hotfix under pressure, support tickets, and a dent in the trust you spent months building. QA looks like a cost until you price what it prevents.
We don't chase 100% coverage — that number looks great in a report and proves very little. We automate the flows that generate revenue or destroy trust when they break, and we let low-risk code carry less ceremony. Coverage is a tool, risk is the metric.
And if your product has an LLM in it: without evals, you don't actually know if it works. You know it worked on the five examples someone tried last month. Golden datasets and regression evals turn 'the model seems fine' into a number you can watch — and that discipline is still rare in Latin America.
Questions tech leads ask us
Earlier than you think. The cheapest moment is before your first big release; the most common moment is after the first painful production incident. If you already have users, the answer is now — the audit tells you exactly how much risk you're carrying.
Both, deliberately. Automation covers regression — the checks that must run on every commit. Manual, exploratory testing finds the weird bugs no script anticipates. Automating everything is as naive as automating nothing.
Playwright or Cypress for e2e, Vitest or Jest for unit and integration, k6 for load, plus security scanners suited to your stack. We pick tools your team can maintain — everything lives in your repo, in your CI.
With a risk matrix: business impact times failure probability. Payment flows and authentication almost always rank first; an admin screen used twice a month ranks last. You see the ranking and can challenge it before we write a single test.
Yes — that's the most common setup. We plug into your repo, your CI, and your workflow, and we train your developers as we go. We're there to raise the bar, then hand it to you.
An eval is an automated test for AI behavior: a golden dataset of inputs with expected outputs, scored on every change. Without evals, editing a prompt or swapping a model is guesswork — you find out from users. With them, degradation shows up in CI before it ships.
Yes. We script realistic traffic scenarios — peaks, spikes, sustained load — and run them against a production-like environment. You get your system's actual limits and the specific bottlenecks to fix, in order.
Every finding ships with reproduction steps and a suggested fix, so your team can resolve it fast. If you want us to fix as well, our developers can take the critical ones — same team, no handoff friction.
A live dashboard with the metrics that matter — escaped bugs, critical-path coverage, flaky rate — plus a short written summary at each cycle. Findings land in your issue tracker with severity and repro steps, not in a PDF nobody opens.
It depends on the size of your system and how much risk you're carrying, which is exactly what the two-week Quality Audit measures. It has a fixed price and ends with a report and a prioritized plan — you'll know the full cost before committing to anything bigger.
Find out how much risk you're shipping
Two weeks, one audit, a prioritized plan. You'll know exactly where your system is fragile — and what to fix first.
Book the Quality Audit