Ship with confidence.
Test with purpose.
Eliminate critical production bugs, accelerate release cadence, and embed human-reviewed automation directly into your CI/CD pipelines.
99.9%
Bug Precision
< 15 min
CI Execution Time
100%
Human Verified
Click canvas nodes to simulate dynamic test payload routing through our QA grid.
Our QA Capabilities
Comprehensive QA auditing, test automation frameworks, and exploratory testing built for scale.
Test Automation Suites
Scalable, non-flaky Playwright and Cypress test automation frameworks integrated straight into GitHub Actions or GitLab CI.
API & Backend Testing
REST and GraphQL contract testing, payload validation, edge case fuzzing, and latency stress testing.
AI-Assisted QA Strategy
Leveraging AI for intelligent test case generation paired with rigorous senior human-in-the-loop validation.
Framework Modernization
Refactoring legacy, slow, or brittle Selenium codebases into ultra-fast, modern Playwright TypeScript runners.
Exploratory & Usability QA
Rigorous human testing uncovering edge-case UX flaws, visual regressions, and multi-device nuances.
QA Audit & Consulting
Comprehensive audit of your current QA pipeline, coverage metrics, defect density, and CI/CD speed bottlenecks.
Interactive AI Test Lab
Experience how we generate production-ready Playwright tests in seconds, backed by senior QA engineer review.
Select Module & Scenario
Enables edge-case verification, anti-flakiness checks, and assertions by senior engineers before pipeline merge.
QA Investment & Bug ROI Simulator
Adjust team parameters to calculate how automated QA reduces uncaught production bug costs.
Configure Engineering Inputs
Calculated at standard $65/hr average engineering blended rate.
Projected Annual Impact
Estimated Cost of Uncaught Production Bugs:
$112,320 / yr
With Jays QA Automated Strategy:
$28,080 / yr
Net Savings Reclaimed
$84,240
Plus an estimated 1,296 engineering hours saved/yr.
How We Ensure Flawless Releases
A structured 4-step execution framework designed for high-velocity software teams.
1. Understand
Deep-dive audit of user journeys, tech stack architecture, and current testing gaps.
2. Design
Architect modular automation scripts, API contract specs, and edge-case matrix.
3. Validate
Parallel execution in CI pipelines paired with senior human exploratory review.
4. Improve
Continuous test maintenance, flake reduction, and real-time dashboard reporting.