Qyra combines AI, intelligent test automation, and engineering signals to help teams discover risks earlier and release with total confidence.
"Potential regression detected in PaymentService v2.4. Observed 18% latency increase on checkout endpoints."
View Root Cause →Built for teams that cannot compromise on software quality.
Traditional test automation piles on hundreds of hours of raw logs and false positives. Qyra synthesizes signals into actionable causal intelligence so you resolve regressions before customers notice.
Hover or click any capability node below to explore how Qyra unites test generation, root cause isolation, and release governance.
Discovers high-risk changes across PRs and branches, automatically ranking tests by regression probability to eliminate redundant runs.
Qyra analyzes application changes, historical tests and quality signals to identify what deserves attention first.
Maps Git commits and pull request diffs directly to the impacted test suites.
Runs the 5% highest-risk tests first, failing fast in seconds instead of hours.
Prioritize immediate execution for critical checkout boundaries:
Turn user stories, Jira tickets, and OpenAPI specifications into resilient, executable test scenarios without manual scripting.
Click "Simulate AI Test Generation" above to stream 6 live boundary scenarios.
One quality intelligence layer across your entire application ecosystem. Select a layer below to inspect coverage depth.
Autonomous cross-browser execution verifying modern SPA hydration, complex DOM state changes, visual regressions, and client responsiveness.
Qyra correlates runtime stack traces, code commits, and environmental payloads to explain the root cause and recommend surgical fixes.
Review PaymentService.ts:182 validation logic to handle fractional currency subunits without floating point truncations.
Quantify regression risk, release confidence, and test stability with enterprise-grade predictive metrics.
Multi-sprint trend across 7 consecutive releases
Coverage proportion by testing layer
Qyra understands tests, defects, requirements, executions and quality history. Click a question below to experience the Copilot.
Why did the latest release fail?
The release failed primarily because of 3 high-risk regressions in the payment workflow.
Click any step in the cycle to see how Qyra intelligence flows continuously from requirement planning to production telemetry.
Qyra parses product requirements and user stories to predict defect density and author high-leverage test cases before writing a line of code.
Toggle between business outcomes and technical components.
Protects critical financial flows and checkout paths with predictive release gates.
Shrinks test feedback loops from hours to minutes, unlocking daily enterprise releases.
Eliminates repetitive test script maintenance and optimizes cloud CI compute bills.
Every requirement, code change, test execution, and defect log feeds directly into the Qyra Knowledge Graph.
Interprets domain logic across disparate repos.
Decides which tests are critical for each commit.
Converts user acceptance stories into test scripts.
Filters flakiness from genuine regressions.
Pinpoints offending code lines and diffs.
Forecasts release failure probability.
Actionable advice for developers and leads.
Vector search across historical test outcomes.
How signals synthesize into engineering actions:
Transform QA from a delivery bottleneck into an autonomous engineering competitive advantage.
Reduce repetitive manual testing and eliminate long test suite wait times.
Identify high-risk regressions in pull requests before staging or production.
Focus automated testing where changes and regression risks actually happen.
Make confident, data-backed release decisions without rollbacks or blind spots.
Discover how Qyra accelerates output across the entire engineering hierarchy.
“Understand release risk, quality trends and engineering performance from one intelligent platform.”
Domain-specific intelligence tailored to rigorous reliability, security, and transaction boundaries.
Protect critical financial workflows, ledger accuracy, and payment transactions with intelligent testing.
Continuously validate complex business applications, ERP integrations, and multi-tenant systems.
Protect checkout funnels, inventory reservations, dynamic pricing, and user session journeys.
Automate and analyze iOS and Android mobile quality across fragmentation, offline states, and push flows.
Continuously validate distributed service ecosystems, contract compatibility, and payload security.
Scale quality engineering and ship weekly features safely as your product and user base expand.
Connect your existing engineering ecosystem seamlessly into Qyra's intelligence layer.
Built from the ground up for strict zero-trust corporate environments.
Granular permissions by team, repository, and environment.
Customer telemetry is strictly isolated with zero cross-tenant leakage.
Full in-transit TLS 1.3 encryption and AES-256 at-rest protection.
Immutable audit trails for every automated test run and gate decision.
Click between the tabs below to explore real mock data from the Qyra Quality Intelligence workspace.
| STATUS | SUITE NAME | LAYER | EXECUTION TIME | FLAKINESS SCORE |
|---|---|---|---|---|
| PASSED | AuthSession.spec.ts | Web / E2E | 142ms | 0.0% |
| FAILED | PaymentCurrencyConvert.test.ts | API / Integration | 380ms | 14.2% (Anomalous) |
| PASSED | OrderInventoryReserve.spec.ts | Database / State | 78ms | 0.1% |
Payment workflow regression risk increased by 18% following recent currency conversion refactor.
Type any inquiry about your test suites, defects, or risk areas, or click a suggested prompt.
Qyra turns software quality into an intelligent engineering advantage.