Five services. One firm. Measurable release confidence.
Every Testyr.ai engagement is scoped transparently, measured against coverage and defect rate targets, and delivers the first working test suite within 30 days — guaranteed.
Most QA automation initiatives fail not because of execution, but because of strategy. Teams pick the wrong framework, automate the wrong tests first, or build a suite that is too brittle to maintain. The Testyr.ai Test Strategy engagement prevents all three. We assess your current QA maturity, your engineering team's skill profile, your release cadence, and your defect history — then design a test automation framework and phased roadmap that your engineers will actually maintain and trust over time.
You receive a written framework recommendation with rationale, a phased automation roadmap with coverage targets and projected defect reduction by phase, a tool evaluation matrix comparing 3-5 options for your specific stack, and an implementation guide your internal team can act on independently or with our support.
- QA maturity assessment across 6 dimensions with scored baseline
- Framework recommendation with detailed rationale for your specific stack
- Tool evaluation matrix: 3-5 options compared across 10 criteria
- Phased automation roadmap with coverage targets per phase
- Projected defect reduction by coverage tier
- Implementation guide with CI/CD integration specifications
Manual regression testing is the most expensive and least reliable form of QA. It is slow, it is inconsistent, and it does not scale with your release cadence. Testyr.ai builds automated E2E regression suites using Playwright or Cypress that cover your critical user journeys, integrate directly into your CI/CD pipeline, and run on every pull request — catching regressions before they reach production, not after.
Every regression suite we build includes test case documentation, a CI/CD integration configuration, a test maintenance guide, and 30 days of post-launch support. We do not hand off brittle tests that break on every minor UI change — we design suites that are resilient by architecture, with robust selectors, intelligent wait strategies, and a clear pattern for your engineers to follow when extending coverage.
- User journey mapping and critical path identification
- Full E2E test suite built to your agreed coverage scope
- CI/CD integration with parallel test execution configuration
- Test reporting setup with failure screenshots and traces
- Test maintenance guide and pattern documentation
- Engineer training session (2 hours minimum)
- 30-day post-launch support period
APIs are the connective tissue of modern software. When they break — through undocumented schema changes, authentication failures, rate limit mismanagement, or incorrect response handling — the failure often cascades silently through downstream systems before anyone notices. Testyr.ai builds comprehensive automated API test suites that cover your endpoints for correctness, contract compliance, authentication, error handling, and schema validation — and integrate them directly into your CI pipeline so breaking changes surface on the pull request, not in production.
For teams with third-party integrations, we implement consumer-driven contract tests using Pact that give both provider and consumer teams confidence that integrations will not break on deployment. For teams with internal APIs, we provide OpenAPI specification validation and automated schema regression coverage.
- Endpoint functional testing: happy path and error scenarios
- Schema validation against OpenAPI specification
- Authentication and authorization testing
- Consumer-driven contract testing with Pact (where applicable)
- Rate limiting and error handling behavior coverage
- Security header and OWASP coverage for public APIs
Most growth-stage engineering teams only discover their performance limits when traffic spikes unexpectedly. By then, it is too late — the incident is happening, customers are experiencing degradation, and engineering is scrambling to identify the bottleneck under pressure. Testyr.ai designs and executes performance test scenarios that simulate your real-world traffic patterns at scale — identifying the breaking point of your system, the bottleneck components, and the remediation path before you are in production crisis mode.
We design load profiles based on your actual traffic data or realistic projections, run tests across your target infrastructure configuration, and deliver a performance report that identifies the specific components, queries, or services that degrade first — with remediation recommendations and a baseline for future performance regression testing.
- Baseline load test: normal traffic volume with response time SLA validation
- Stress test: ramp-up to 5-20x normal load to find breaking point
- Spike test: sudden traffic surge simulation (marketing campaigns, PR events)
- Soak test: sustained load over 2-4 hours to detect memory leaks and degradation
- Bottleneck analysis: database query performance, cache hit rates, API response times
- Post-test remediation recommendations with priority ranking
Test suites degrade. Products change. New features require new coverage. Without active QA engineering investment, even a well-built test suite becomes outdated, flaky, and eventually abandoned. Testyr.ai's QA Managed Services embeds a senior QA engineering team in your product organization on a monthly retainer — maintaining your existing test coverage, validating each release, writing new tests for new features, and reporting quality metrics every week with a clear picture of your defect escape rate and coverage trend.
Most clients on a QA Managed Services retainer operate with the effective QA depth of a 2-3 person internal QA team at roughly 40-60% of the cost — because they are not paying for benefits, onboarding, management overhead, or the risk of turnover. They pay for QA outcomes, and that is what they receive.
- Continuous test suite maintenance as your product changes
- Release validation before each deployment with sign-off report
- Monthly capacity hours for new test coverage as new features ship
- Weekly quality metrics report: coverage, flake rate, defect escape rate, suite health
- Defect reporting and triage support with reproduction steps
- Quarterly QA roadmap review with coverage expansion plan
Services at a glance.
Use this table to quickly identify which service fits your current situation — then explore the detail blocks above or book a free assessment to get a recommendation.
| Service | Best For | Timeline | Starting Price | Primary Outcome |
|---|---|---|---|---|
| B1 — Test Strategy | Teams starting from scratch or rebuilding their QA approach | 2–4 weeks | $4,000 | Written framework recommendation, phased roadmap, tool evaluation matrix |
| B2 — Regression Automation | Teams running multi-day manual regression cycles | 30 days (first suite) | $8,000 | E2E regression suite in CI — 85–95% cycle time reduction |
| B3 — API Testing | Teams with undocumented APIs or integration failures in prod | 2–6 weeks | $6,000 | Automated API coverage in CI — catch breaking changes pre-deploy |
| B4 — Performance Testing | Teams ahead of campaigns, launches, or peak traffic events | 2–4 weeks | $5,000 | Performance baseline, breaking point analysis, remediation roadmap |
| B5 — QA Managed Services | Teams who need ongoing QA depth without headcount overhead | Monthly retainer | $3,000/mo | 90%+ suite health, 50–70% defect escape rate reduction in 90 days |
Not sure which service is right for your team?
Start with a free QA maturity assessment. We will evaluate your current coverage, identify your highest quality risk, and recommend the right starting point — with no obligation to proceed.
No sales pitch. No commitment. Just clarity.