Built for your release cadence
Quality embedded in every sprint, not layered on in a final testing phase before go-live.
Functional, Performance & Regression Testing
Functional flows, regression suites, API contracts, plus JMeter-powered load and stress testing, automated and executed on every commit.
AI Test Agent, Autonomous QA
AI Test Agent autonomously generates, executes, and validates test cases, grounded in your codebase, connected to Jira and GitHub.
Mobile QA, iOS, Android & Cross-Platform
Appium-driven mobile test automation across real devices and simulators. Functional, UI, accessibility, and performance testing.
Test Management, JIRA, Zephyr & Azure DevOps
End-to-end test management in your toolchain. Requirements traceability, defect lifecycle, and release dashboards for every stakeholder.
QA stack for regulated enterprise
Every QA engagement inherits a consistent, production-ready foundation, from AI test generation to governance reporting.
CI/CD Pipeline Integration
Test Execution & Frameworks
AI Test Generation Layer
Quality Gates & Observability
Governance & Compliance Reporting, applied to every flow above
Six capabilities every QA engagement inherits
No additional tooling required. Every QA engagement inherits all six automatically.
AI-Generated Test Cases
AI-generated test cases tailored to your codebase and business logic. Edge cases your team would miss, identified and covered automatically.
Automated Validation & Quality Scoring
LLM-as-a-judge automated scoring, model self-critique, and agent-to-agent feedback loops validate output quality before every release.
Multi-Framework Test Automation
Selenium, Appium, JMeter, Cucumber, HP UFT, Tricentis, and TestComplete, the right framework for every layer, with no tool sprawl.
Enterprise Controls & Governance
Role-based access, usage tracking, budget guardrails, and audit trails built into every QA workflow. Compliance-ready reporting from the first sprint.
Native CI/CD Pipeline Integration
Test suites embedded directly in your CI/CD pipeline. Every commit triggers automated validation, quality gates enforced before any code reaches production.
Accessibility-First Testing
WCAG 2.2 compliance validation, voice and screen-reader compatibility, built into every QA engagement, not added as a pre-launch afterthought.
Real outcomes every QA engagement delivers
Built for engineering leaders who need quality at velocity, not quality instead of velocity.
AI Test Agent
from sprint one
in-house, no fees
commit validated
automation suite
full coverage
From manual testing to automation fast
A structured approach that embeds quality into every sprint, not just before go-live.
& Coverage Gap
& CI/CD Integration
Onboarding
& Quality Validation
& Improvement
Test coverage, toolchain, and release process audited. Strategy, framework, and automation roadmap defined.
Test automation frameworks integrated into your CI/CD pipeline in the first sprint. Every commit validated.
AI Test Agent grounded in your codebase and acceptance criteria. Autonomous test generation, coverage compounds.
Quality gates tuned to your release standards. LLM-as-a-judge and agent-to-agent feedback validate output.
Test suites maintained every sprint. Coverage dashboards, defect analytics, and quality metrics from the first sprint.
Purpose-built for your enterprise needs
Three principles working together, AI agents that test, governance built structurally, and full ownership of every test suite, framework, and dashboard.
AI Agents That Test, Not People
AI Test Agent generates and executes test cases autonomously, covering edge cases and regression scenarios faster than any manual team.
Quality Gates Built Structurally
Automated gates, compliance audit trails, and traceability built into every pipeline, enforced consistently, regardless of release pressure.
Your Test Suites. Your IP.
Every test case, framework, and dashboard is contractually yours. Zero license dependency. Full knowledge transfer on every engagement.
Bring us your QA challenge
Three ways to get started, QA proof of concept on your actual codebase, architecture review against your SDLC, or full QA deployment in your environment.