QA and Test Automation Services

Stop shipping bugs to production. Start shipping on Friday.

We build automated test suites and CI/CD pipelines that catch regressions before your users do. Unit, integration, end-to-end, and performance testing across your full stack. Your first coverage gap report lands in 3 days.

Jest & VitestPlaywright & CypressGitHub ActionsCI/CD integrated
$ jest --coverage --runInBand
PASS orders/orders.spec.ts
PASSshould create order and return 2013ms
PASSshould reject invalid SKU1ms
PASSshould handle concurrent requests7ms
PASS auth/auth.spec.ts
PASSshould authenticate with valid token2ms
PASSshould reject expired JWT1ms
PASS payments/payments.spec.ts
RUNshould process card payment...
What no test automation actually costs

Your users find bugs before your team does. That erodes trust you cannot earn back.

versus
Production Incident Log
47 open
P0Checkout fails on iOS Safari, blocking all mobile purchases3 hours agoactive
P1Order confirmation emails not sending8 hours agoregressed
P1Inventory count off by 1 on multi-variant productsYesterdayinvestigating
47
open bugs
6.2h
mean time to detect
18%
test coverage
Test Health Dashboard
all green
All 328 unit tests passing2.1smain
64 integration tests passing18sstaging
12 end-to-end flows passing, Playwright4m 21sdeploy gate
0
production bugs
<60s
detect regression
97%
test coverage
QA engineer reviewing production incident dashboard on dual monitors with urgent focused expression
QA maturity assessment

Do you have a dangerous coverage gap? Eight questions. Your honest score.

Check the statements that are true for your team today. See your risk level update in real time.

Automated smoke tests exist for core user flows
Login, checkout, and critical paths run without a human clicking through each one
Unit tests cover more than 70 percent of business logic
Coverage is measured and tracked, not estimated or assumed
Test suite runs automatically on every pull request
No manual QA step required before merging
API integration tests cover all critical service boundaries
Every API endpoint that can break the product is covered
Full test suite completes in under 10 minutes
Fast enough to run on every commit without slowing delivery
New features require tests as a condition of merge
Coverage requirements are enforced by the pipeline, not by team discipline
Performance benchmarks run automatically
Slowdowns caught in staging, not after a launch-day spike
Security scanning runs in the CI/CD pipeline
Vulnerabilities flagged before they reach a live environment
Your QA Risk Score
0
No test automation in place. Production risk is high.
High RiskProtected
Where to start

We audit your test coverage, find your highest-risk gaps, and build a roadmap that fixes the most dangerous blind spots first. You get the report in 3 days.

Get My Free QA Gap Analysis
QA and test automation services

Every layer of your stack tested. Every release you ship, you ship with proof.

QA engineering team reviewing test coverage reports on large monitors in modern office space
Automated Regression Suite

We build and maintain your full regression suite. Unit tests cover business logic. Integration tests guard service boundaries. End-to-end tests protect critical user flows. Every test has a purpose, a pass condition, and a named owner. Flaky tests are eliminated. Your release cycle gets faster because every merge is verified.

Jest / VitestPytestxUnit
Coverage Report
Statements97.4%
Branches94.8%
Functions98.1%
Lines97.9%
328 tests · 2.1s
End-to-End Browser Testing

Your checkout, login, and account flows run automatically in Playwright and Cypress. Cross-browser and mobile viewport coverage included. When a test fails, you get a screenshot diff showing exactly what broke. Your team spends minutes diagnosing, not hours.

0 flows
CI/CD Quality Gates

Tests run on every commit via GitHub Actions, GitLab CI, or Bitbucket Pipelines. Deployment blocks automatically if tests fail or coverage drops below your agreed threshold. No manual approval steps. No QA bottleneck before merge.

API development services →
Performance and Load Testing

We run k6 or JMeter load tests against your APIs and critical flows. Baseline response times are set. Regression thresholds are enforced. Load profiles match your real traffic patterns. Performance issues get caught in staging, not during a launch at peak hours.

Cloud migration services →
k6 Load Test Report
p50 response time42ms
p95 response time118ms
Error rate at 1k VUs0.02%
Throughput3,240 req/s
Security Scanning in Pipeline

Dependency vulnerabilities get flagged before they reach users. We run Snyk or npm audit on every commit. OWASP Top 10 checks run against every web-facing service. A vulnerability that ships to production costs 60x more to fix than one caught in CI.

Test Reporting and Dashboards

Your whole team sees coverage trends, flaky test counts, and regression detection speed in one live dashboard. Not buried in CI logs. Not lost in a PDF report. Your engineering lead gets the data to make release decisions with confidence.

QA pricing guide →
Real client outcome: 0% to 97% coverage in 12 weeks

From quarterly releases with constant outages to weekly deployments with zero production incidents.

Engineering team at workstations reviewing all-green CI/CD pipeline on large monitor with satisfied expressions in modern office
1
Week 1 · QA audit
Audit finds zero automated coverage across the entire codebase
The application was monolithic with tightly coupled deployments. Every release required a team to manually run 14 regression scenarios. That took 6 hours per release, every release.
2
Weeks 2 to 4 · Unit testing
168 unit tests written, coverage jumps from 0% to 62%
Payment, auth, and order processing services are covered first. The highest-risk code runs first. The CI/CD pipeline goes live in GitHub Actions.
3
Weeks 5 to 8 · Integration and end-to-end
64 integration tests and 12 Playwright flows bring coverage to 91%
Every service boundary is covered. Every critical user flow runs in Playwright without a human clicking through it. Coverage reaches 91%.
4
Weeks 9 to 12 · Full automation
97% coverage. Weekly releases. Zero production incidents in 90 days.
The deployment gate is live. The full suite runs in 6 minutes. Manual QA is gone. The team went from shipping quarterly to shipping weekly. Zero production incidents in the first 90 days.
SaaS / B2B PlatformAWS Cloud-Native
The problem

A monolithic application caused slow releases and frequent outages. Tightly coupled deployments made every new feature a risk. The team could not scale without disrupting users.

What we delivered
  • CI/CD pipelines with automated testing gates on every commit
  • Zero-downtime rolling deployments on Kubernetes with automated rollback
  • 97% test coverage and zero production incidents in 90 days
0% → 97%
test coverage in 12 weeks
0
production incidents in 90 days
CI/CD pipeline: how quality is enforced

Every commit passes through seven automated gates. Nothing reaches production unless all seven pass.

GitHub Actions · feature/checkout-v2
passed
lint4s
type-check12s
unit-tests2m 1s
integration18s
e2e4m 21s
security34s
deploylive
QA and test automation: what you get vs. what most teams have

No QA, manual QA, and automated QA with Redefine. Every row is a business risk decision.

QA capability
No QA
Manual only
Redefine
Test coverage
Line and branch coverage at delivery
0%
20 to 40%
90 to 97%
Regression detection speed
How fast a regression is caught after merge
Days
Hours
Under 60 seconds
CI/CD integration
Tests run on every commit, automatically
None
Rarely
Every commit
Release confidence
The ability to deploy on Friday and leave for the weekend
None
Some
High
Defect escape rate
Bugs reaching production per release
Very high
Medium
Near zero
Performance testing
Load tests before every major release
None
Rarely
Automated
QA cost per release
Engineer hours spent on release validation
Unknown (reactive)
6 to 12 hours
Under 30 minutes
Your questions, answered directly

What engineering leads ask before they start a QA and test automation engagement.

We automate across the full testing stack: unit tests for business logic, integration tests for API and service boundaries, end-to-end tests for critical user flows, and performance tests under real load conditions. Security scanning and accessibility checks run in every CI/CD pipeline we build. The exact mix depends on your codebase and risk profile. We define that together in the first-week discovery audit.

For an existing codebase, a baseline setup with unit and integration tests running in CI/CD takes 3 to 4 weeks. A full suite including end-to-end tests, performance benchmarks, and security scanning takes 6 to 10 weeks. Codebases with no existing tests take longer because we refactor for testability as part of the work. Not sure where you sit? The QA maturity assessment above gives you an honest score in under 2 minutes.

We work with the framework your team already uses, not the one we prefer. For JavaScript and TypeScript: Jest and Vitest. For Python: Pytest. For .NET: NUnit and xUnit. For end-to-end browser testing: Playwright and Cypress. For performance and load testing: k6 and JMeter. No forced migrations.

We track four numbers. Test coverage — what percentage of your code runs under test. Defect escape rate — how many bugs reach production versus how many we catch in staging. Regression detection speed — how fast your suite catches a breaking change after a merge. Test execution time — how long the full suite takes to run in CI/CD. All four are reported at delivery and tracked for the first 90 days after launch.

Most QA engagements run between $25,000 and $150,000. The range depends on codebase size, how deep the test pyramid goes, your existing coverage baseline, the CI/CD platform, and whether you need ongoing testing-as-a-service after the build. A senior QA engineer costs $120,000 to $160,000 per year in salary alone. Our engagements deliver a full automated test framework and hand it over completely to your team. We scope before we quote. See the QA pricing guide for a full breakdown.

Start with a free QA audit

Tell us about your codebase. We will find your biggest coverage gaps.

We respond within 48 hours. No sales call. No commitment. Just your QA gap report.

Form

Submit brief → call within 48 hours → QA audit in 3 days → Sprint 1 starts week 2

48 hours
We respond
3 days
You get your audit
97%
Coverage we target
You own it
Your code, always
Your brief is in.

We read every brief before we respond. You will receive your QA gap analysis and a prioritized roadmap within 3 business days.

Get on a call with us to see how we can help you

Get a Quote