QA and test automation company
QA and Test Automation Services. Ship Code That Stays Working.
We build automated test suites, CI/CD pipelines with integrated quality gates, and test strategies that catch regressions before your users do. Unit, integration, end-to-end, and performance testing across every layer of your stack.
Submit brief → call within 48 hours → QA audit in 3 days → Sprint 1 starts week 2
$ 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...
The cost of skipping QA automation
Every bug your users find first is a trust withdrawal you cannot make deposits against.
versus
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
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 maturity assessment
How mature is your test automation strategy? Eight questions. Honest score.
Select the statements that are true for your engineering team right now. Your score updates as you go.
Automated smoke tests exist for core user flows
Login, checkout, and critical paths run without manual
steps
Unit tests cover more than 70 percent of business logic
Measurable line and branch coverage, not ad-hoc tests
Test suite runs automatically on every pull request
No manual QA step required before merging
API integration tests cover all critical service
boundaries
Not just unit tests for isolated functions
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 enforced at the PR gate, not by
convention
Performance benchmarks run automatically
Response time regressions detected before reaching
production
Security scanning runs in the CI/CD pipeline
Dependency vulnerabilities and static analysis checked on
every build
QA Maturity Score
0
No test automation infrastructure detected.
Critical RiskMature
Where to start
We audit your existing test coverage, identify the highest-risk gaps, and build a prioritized roadmap that eliminates critical coverage blind spots first.
Get My QA Gap AnalysisQA and testing capabilities
Every layer of your stack tested. Every release shipped with confidence.
Automated Regression Suite
We build and maintain your full regression suite: unit tests for business logic, integration tests for service boundaries, and end-to-end tests for critical user flows. Every test has a purpose, a pass condition, and a named owner. Flaky tests are eliminated, not ignored.
Jest / VitestPytestxUnit
Statements97.4%
Branches94.8%
Functions98.1%
Lines97.9%
328 tests · 2.1s
End-to-End Browser Testing
Critical user flows automated in Playwright and Cypress. Checkout, authentication, account management. Cross-browser and mobile viewport coverage. Screenshot diff on failure so you see exactly what broke.
0 flows
CI/CD Quality Gates
Tests run on every commit via GitHub Actions, GitLab CI, or Bitbucket Pipelines. Deployment blocked if tests fail or coverage drops below the agreed threshold. No manual approval steps required.
API development services →Performance and Load Testing
We instrument your APIs and user flows with k6 or JMeter load tests. Baseline response times measured, regression thresholds set, and load profiles matched to your real traffic patterns. Performance regressions get caught in staging, not at peak hours on launch day.
Cloud migration services →p50 response time42ms
p95 response time118ms
Error rate at 1k VUs0.02%
Throughput3,240
req/s
Security Scanning in Pipeline
Dependency vulnerability scanning with Snyk or npm audit. Static analysis on every commit. OWASP Top 10 checks for web-facing services. Alerts before vulnerabilities reach production.
Test Reporting and Dashboards
Coverage trends, flaky test detection, mean time to detect regressions. Delivered as a live dashboard your whole team can read, not a report buried in the CI logs.
QA pricing guide →Client result.
From slow-release cycles and frequent outages to automated test gates and zero-downtime deployments.
1
Week 1 · QA audit
Codebase audit reveals 0% automated coverage
Monolithic application with tightly coupled deployments.
Every release required manual testing across 14 regression
scenarios. Average 6 hours of manual QA per release.
2
Weeks 2 to 4 · Unit testing
Jest unit test framework installed, core services covered
Payment, auth, and order processing services covered first.
168 unit tests written. Coverage climbs from 0% to 62%.
CI/CD pipeline set up in GitHub Actions.
3
Weeks 5 to 8 · Integration and end-to-end
API integration tests and Playwright end-to-end flows added
64 integration tests covering all service boundaries. 12
Playwright end-to-end flows matching the manual regression
scenarios. Coverage reaches 91%.
4
Weeks 9 to 12 · Full automation
Zero-downtime deployment gate active, manual QA eliminated
Rolling deployments on Kubernetes with automated rollback.
Test suite runs in 6 minutes. 97% coverage. Weekly releases
replaced quarterly releases. 0 production incidents in first
90 days post-launch.
SaaS / B2B PlatformAWS Cloud-Native
The problem
The existing monolithic application caused slow release cycles and frequent outages. Deployment processes were tightly coupled and risky, making it difficult to introduce new features or scale reliably without disrupting users.
QA solution delivered
- CI/CD pipelines with automated testing gates
- Zero-downtime rolling deployments on Kubernetes
- 97% test coverage, 0 production incidents in 90 days
0%
test coverage at delivery
0
production incidents in 90 days
CI/CD pipeline stages
Every commit passes through seven automated gates before reaching production.
lint4s
→
type-check12s
→
unit-tests2m 1s
→
integration18s
→
e2e4m 21s
→
security34s
→
deploylive
How Redefine QA compares
No QA strategy, a manual-only team, and Redefine. See the difference each row makes.
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
Ability to ship on Friday without fear
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
Common questions
What engineering leads ask before a QA engagement.
We automate across the full testing pyramid: unit tests for business logic, integration tests for API and service boundaries, end-to-end tests for critical user flows, and performance tests for load and latency. Security scanning and accessibility testing are included in every CI/CD pipeline we set up. The mix depends on your stack and risk profile, which we define in the discovery audit.
A baseline setup with unit and integration tests running in CI/CD typically takes 3 to 4 weeks for an existing codebase. A full automation suite including end-to-end tests, performance benchmarks, and security scanning takes 6 to 10 weeks. Projects with no existing tests take longer because refactoring for testability is part of the work. See the QA maturity assessment above to gauge where your team sits today.
We use Jest and Vitest for unit and integration testing on JavaScript and TypeScript projects. Pytest for Python. NUnit and xUnit for .NET. Playwright and Cypress for end-to-end browser testing. k6 and JMeter for performance and load testing. We use the framework that fits your existing stack rather than forcing a migration.
We measure four things: test coverage percentage (line and branch), defect escape rate (bugs found in production versus staging), mean time to detect a regression (how quickly your test suite catches a breaking change), and test execution time (how long the full suite takes to run in CI/CD). All four are reported at delivery and tracked in the first 90 days post-launch.
QA engagements typically run between $25,000 and $150,000 depending on codebase size, test pyramid depth, existing coverage, CI/CD platform, and whether the scope includes performance testing, security scanning, or an ongoing testing-as-a-service retainer. We scope before we quote. See our QA pricing guide for detail.
Book a QA strategy call
Tell us about your test automation project.
We respond within two business days. No commitment. No pitch.
Form
Submit brief → call within 48 hours → QA audit in 3 days → Sprint 1 starts week 2
48 hours
Response
3 days
QA audit
97%
Coverage target
You own it
Full code ownership
Brief received.
We will review your testing situation and send a QA gap analysis and roadmap within 3 business days.
