Bugs stop here. Before your users see them.
We build intelligent test automation frameworks that catch regressions before they reach production. From AI-generated test cases to OWASP security scans — total coverage.
Every layer of your product — owned, engineered, and optimised by our team.
Risk-based test planning — we map your highest-risk user journeys, define the automation pyramid, and select the right frameworks for your stack.
3–5 daysScaffolding the test project with CI integration, reporting, environment config, test data management, and parallel execution from day one.
3–5 daysWriting the first 50–100 E2E scenarios covering critical paths — login, checkout, key user flows — with page object pattern and shared helpers.
2–4 weeksScripting realistic virtual user behaviours, defining SLOs (p95 < 500ms), and running baseline + spike + endurance test scenarios.
1 weekOWASP ZAP baseline and full scan, Snyk dependency audit, and a custom payload suite covering OWASP Top 10 for your application.
3–5 daysWiring all test suites into your PR pipeline — parallel execution, threshold-based merge blocking, and Slack notifications for failures.
2–3 daysReal products, real metrics.
Built a Playwright + k6 automation suite for a payment platform — achieving 94% E2E coverage and 18 consecutive months without a P0 production incident.
Designed and ran load tests simulating 50K concurrent shoppers — uncovering 3 critical database bottlenecks that would have caused checkout failures.
Comprehensive OWASP and HIPAA security testing for a patient portal — identifying and remediating 12 high-severity vulnerabilities before regulatory audit.
E2E Testing
Unit / Integration
Load Testing
Security
Visual Testing
Mobile Testing
Reporting
CI/CD
We use a risk-based prioritisation model: highest user impact × highest change frequency × lowest existing coverage. This typically means automating authentication, checkout/core transaction flows, and API contracts first.
Yes. We integrate with Jira for test-to-story traceability, GitHub Actions or Jenkins for CI gates, and Slack for failure notifications — all without disrupting your current workflow.
We implement a test data factory pattern with seeded database states, API-driven setup/teardown, and isolated test environments — ensuring tests are deterministic and parallelisable.
For a mid-sized web app with clear user journeys, 80% critical-path E2E coverage is achievable in 6–8 weeks with a dedicated QA engineer. We track progress against agreed coverage targets weekly.
Yes. Our retainer includes flaky test triage, new feature test authoring, framework upgrades, and monthly suite health reports. We can also train your team to own the suite independently.
Book a free QA audit. We'll review your current test coverage, identify the highest-risk uncovered areas, and propose an automation strategy with ROI estimates.