QA · Test automation · AI testing

Software testing & QA to ship without fear. And without bugs reaching customers.

E2E and API automation, load testing, AI product evaluation and audit-ready evidence, all wired into your CI/CD and blocking the merge when something breaks. For teams that sped up with AI and for legacy systems with no tests at all.

Talk to a specialist Build your QA brief
E2E and API automation LLM and agent testing Built into your CI/CD Audit-ready evidence Proposal within 48h
Fewer bugs in production
Exploratory testing and automated critical flows catch issues before your customers do, on every release.
Deploy with confidence
The suite runs in your CI/CD and blocks the merge when something breaks. Your team ships without fear.
AI that is actually tested
LLM and agent outputs scored with metrics, a prompt regression suite and a hallucination score on every release.
Evidence you keep
Suites, traceable test cases and execution evidence in your repository, ready for audits and acceptance testing.
Signs it's time

When every release becomes a gamble

The situations that most often bring SaaS companies, fintechs, online stores and product teams to us in 2026.

Your team sped up with AI, but coverage didn't

Copilot, Cursor or Claude Code tripled code volume, yet the test safety net is the same. More generated code means more surface to validate, and the hidden risk lands squarely on QA.

Every release breaks something

Bugs reach customers, the team is always firefighting, and nobody trusts a Friday deploy.

Manual regression nobody can keep up

Testing everything by hand before each release delays delivery, and bugs still slip through.

A legacy system with zero tests

It works, but everyone is afraid to touch it. Changing or migrating it feels like a bet.

Auditors asking for evidence nobody kept

An auditor, customer or regulator wants to know which test covered which requirement, who signed off on acceptance and what ran on each release. The answer is scattered across spreadsheets and screenshots.

A traffic spike, no known limit

A campaign, Black Friday or a big new customer is coming, and nobody knows how much load the system can take.

Solutions

From a quality gate in your pipeline to AI product evaluation

We start with the flows and answers that hurt most when they break, then expand coverage step by step.

AI product testing

LLM output validation, an evaluation harness with datasets and metrics, prompt regression suites, hallucination scoring and agent behavior testing, run on every model, prompt or knowledge base change.

A safety net for AI-generated code

For teams that adopted Copilot, Cursor or Claude Code: PR risk mapping, coverage for the flows that change most, and tests that grow at the same pace as the code.

E2E and API automation

Critical flows automated with Cypress, Playwright or Selenium, and APIs covered with Postman or REST Assured, in code that's easy to maintain.

Test strategy

A balanced pyramid of unit, API and E2E tests: what to test manually, what to automate and with which tools, based on business risk.

Exploratory manual testing

QA analysts explore the system the way users would, uncover edge cases and log every bug with steps to reproduce.

Performance and load testing

Load, stress and soak tests with K6, JMeter or Locust to find bottlenecks and your system's limit before peak traffic hits.

Mobile app testing

Android and iOS apps tested manually and automated with Appium, across different OS versions and screen sizes.

QA in your CI/CD

The suite runs on every pull request, with a quality gate that blocks the merge when something breaks and a quality report for each release.

Evidence, traceability and acceptance

A requirement → test case → execution matrix, evidence for every run with logs, screenshots and build version, and formal acceptance testing with recorded sign-off, ready for auditors, customers and regulators.

Method

From critical flows to continuous quality

Early wins first, broad coverage next. Your team keeps shipping while the safety net grows.

1Assessment

Quality assessment

Your system, stack, critical flows, bug history, how much code is already AI-generated and how your team tests today.

Risk and critical flow map
2Proposal

Strategy and plan

What to test manually, what to automate and which tools to use, sent within 48h of the first call.

Fixed scope, timeline and price
3Smoke

Critical flows first

Smoke tests and the flows that hurt most when they break, like login, checkout or billing.

Critical flows covered
4Pipeline

Automation in CI/CD

E2E and API suite wired into the pipeline, running on every pull request and blocking the merge on failure.

Quality gate live
5Performance

Load and stress

Load scenarios based on real system usage to find bottlenecks before peak traffic.

System limit known
6Evolution

Continuous coverage

More coverage every sprint, suite maintenance and a quality report with evidence for each release.

Quality measured on every release
Visible quality

Know a release is ready before you ship it

Testing isn't a spreadsheet of test cases. It's seeing, on every pull request, what passed, what broke and what has no coverage, then deciding on the deploy with data. We build it on the tools your team already uses.

  • Suite results on every pull request, with evidence for each failure
  • Critical flows mapped and automated first, with coverage tracked
  • Flaky tests quarantined and fixed, so a red build means something again
  • Test cases traced back to requirements, with execution evidence and acceptance sign-off
  • A quality report per release for product, management and engineering
AI consulting App Development Software Development DevOps / SRE / Cloud
Release 4.2 · Checkout Approved
0%Tests passing
Critical flows automated92%
Code coverage78%
Cases with traceable evidence100%
Automated tests1840
Bugs escaped to prod2
Avg suite run time11 min
Prompt regression: 3 assistant answers broke policy on the new model version. Merge blocked until fixed.
Illustrative dashboard
Quick brief

Tell us how your team tests today in 1 minute

Pick the options, leave your contact and the brief goes by email straight to a specialist. More context means a sharper first conversation.

What do you need?select all that apply
What kind of system?
What's the situation today?
Your details
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FAQ

Software testing & QA FAQ

It depends on the size and complexity of your system, the types of testing (manual, automation, performance, mobile, AI) and the model: ongoing squad, automation project or one-off test round. After our first conversation, you get a proposal with fixed scope and price.
Yes. We build the evaluation harness with datasets from your domain and quality metrics, validate LLM output against rules and policies, create a prompt regression suite and measure hallucination and agent behavior on every model, prompt or knowledge base change, running in CI/CD. If the AI is still being built, our AI consulting team designs the solution and QA makes sure it answers correctly in production.
Productivity goes up, but every generated line still needs validating. We map where code changes most, strengthen coverage on those flows, add a quality gate to PRs and track whether tests grow at the same pace as the code. Your team keeps its speed without shifting the risk onto customers.
Yes. Each test case is linked to the requirement it covers, each run keeps logs, screenshots and the tested version, and acceptance is recorded with the approver's sign-off. You get the traceability matrix and per-release history ready for internal audits, customers or regulators, without building a spreadsheet the night before.
Timing depends on your system and scope, and it's spelled out in the proposal. We start with smoke tests and critical flows specifically so you see value early, before we broaden coverage.
Send the brief or message us on WhatsApp. On the first call we cover your system, stack and where bugs keep showing up; a staging environment helps with the assessment. Within 48h of that call, you get your proposal.
Yes. Test suites, scripts and documentation live in your repository and belong to your company. Confidentiality is covered in the contract, and you define and can revoke access to your environments.
Yes. We start with a minimal pyramid of smoke tests and critical flows, then grow coverage step by step without stalling delivery. If automation requires code changes, our software development team can help, and application maintenance can look after the legacy system day to day.
Cypress, Playwright and Selenium for E2E, Postman and REST Assured for APIs, Appium for mobile, and K6, JMeter or Locust for load. If your team already uses one, we build on it; the choice follows your scenario and stack. For pipelines, see our DevOps service.