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Find the Bugs Before
Your Users Do.

Every release is a risk. Will it break something? Will it perform under load? Will it expose a vulnerability? Testing is not about finding bugs. It is about shipping with confidence. We build the testing infrastructure that lets you release faster because you release safer.

Discuss Your QA Strategy
$2.08T
Annual cost of poor software quality (US)
85%
Of defects introduced during coding phase
30x
More expensive to fix bugs in production vs. development
78%
Of companies increasing test automation investment

The Challenge

You Ship Fast. You Break Things. Then You Spend a Week Fixing Them.

Your team releases every two weeks. Every release, something breaks: a workflow fails silently, a page loads in 8 seconds, a form submits but data does not save. The team scrambles. Customers complain. The hotfix introduces a new bug. This cycle eats 30 to 40% of your development capacity and never gets better because the testing infrastructure was never built.

Our Approach

We build testing into your development lifecycle, not around it. Automated test suites that run on every commit. Performance tests that catch regressions before production. Security tests that find vulnerabilities before attackers do. And a QA strategy that scales with your team so testing never becomes the bottleneck.

What We Deliver

Capabilities

01

Test Automation

Selenium, Cypress, Playwright, Appium. Automated suites for web, mobile, and API. CI/CD integration. Catch regressions instantly, not after deployment.

02

Performance & Load Testing

JMeter, k6, Gatling. Simulate real traffic. Load, stress, endurance testing. Know your breaking point before you hit it.

03

Security Testing

OWASP-based application security testing in the pipeline. SAST, DAST, dependency scanning. Find vulnerabilities during development.

04

Manual & Exploratory Testing

Experienced QA engineers who think like users and break things like attackers. Edge cases automation misses. Usability validation.

05

QA Strategy & Process

What to automate, what to test manually, how to prioritize, how to measure quality. Strategy that matches your release cadence and risk tolerance.

06

Regression & Smoke Testing

Automated regression suites on every release. Smoke tests for rapid post-deployment verification. New code does not break old code.

Our Process

How We Work

01

QA Assessment

Evaluate current testing practices, coverage gaps, quality metrics. Where do bugs escape to production most? Where is testing manual and slow?

02

Strategy & Framework

Design test strategy: tools, CI/CD integration, metrics. Build the framework and initial test suites for highest-risk workflows.

03

Automation Build

Write automated tests. Integrate into pipeline. Establish baselines: pass rate, coverage, execution time.

04

Expand Coverage

Add performance, security, and accessibility testing. Build the test pyramid: many unit tests, fewer integration, targeted E2E.

05

Continuous Improvement

Monitor effectiveness. Remove flaky tests. Add tests for new features. QA evolves as your application evolves.

Why Flynaut

What Makes Us Different

01

Developers Who Test

Our QA engineers write code. They build frameworks, create utilities, debug failures at the code level. Technical QA that earns developer respect.

02

Security Testing Built In

Our cybersecurity team provides application security testing as part of QA. SAST and DAST in the pipeline. Vulnerabilities caught during development.

03

Speed, Not Bottleneck

Good testing makes you faster. Automated tests catch bugs in minutes instead of days. QA is an accelerant, not a gate.

04

Measurable Quality

Defect escape rate, test coverage, mean time to detect, regression frequency. You know exactly where quality stands.

Results

SaaS Platform Reduces Production Bugs by 75%, Doubles Release Frequency

A SaaS company with 50,000 users released monthly because every release introduced regressions. No automated testing. 3 manual testers who could not keep up. Built 800+ automated tests covering core workflows. Integrated into CI/CD. Added performance and security testing.

Results are illustrative, inspired by real client engagements. Specific metrics pending client verification.

Production bugs reduced by 75%.
Release cadence: monthly to weekly.
Customer-reported bugs dropped 60%.
Average regression detection: 12 minutes (was 3 days).

Tired of Every Release Being a Roll of the Dice?

It sounds like your team ships fast but spends too much time cleaning up afterward. Releases should build confidence, not anxiety. That is a solvable problem.