AI-Driven Quality Engineering for Modern Digital Products
Deliver faster, smarter, and more reliable releases with AI-powered test automation and MCP-enhanced quality engineering.
Why QAstra?
We combine expert automation engineering with intelligent AI assistants to deliver next-gen, self-improving testing solutions.
AI at the Core
Every service—from automation to API to performance—is enhanced with intelligent AI capabilities.
MCP-Powered Intelligence
Our automation framework uses Model Context Protocol (MCP) to give AI real-time application understanding.
Enterprise-Grade Execution
Reliable, scalable, maintainable frameworks designed for high-growth engineering teams.
AI-Enhanced Testing Services
Smarter, stable, adaptive automation powered by Al + MCP context.
-> Self-healing, Al-generated tests, intelligent execution.
Deep validation with Al-driven schema analysis and MCP-powered failure insights.
-> Automated API coverage, risk prediction, smart grouping.
Cross-browser/device stability using Al + MCP DOM/device context.
-> Better selectors, visual diffs, cross-platform reliability.
Predictive performance insights using Al and MCP telemetry.
-> Early bottleneck detection, anomaly insights, scaling confidence
Human insight amplified with Al summarization, charters, and MCP event context.
-> Deeper coverage, better test notes, faster findings.
AI Advantage
AI-Generated Tests
Self-Healing Locators
Smart Failure Insights
Predictive Risk Detection
Our Intelligent Automation Framework
MCP Server
AI Reasoning Layer
Self-Healing Engine
Test Orchestrator
CI/CD
Application Under Test
Highlights
Real-time DOM, logs & traces fed into AI via MCP
AI-generated test steps
Automatic locator healing
Visual diff engine
Parallel execution pipelines
Smart retries + failure classification
Engineering Results That Matter
Reduction in flaky tests
0
%
Faster automation delivery
0
%
Regression confidence
0
%
hours saved per week with AI reporting
0
+
Ready to Modernize Your QA with AI?
Let’s build an intelligent, scalable automation system that grows with your product.
Tools we use to power AI-Driven Quality Engineering
Open AI
MCP Server
Playwright
Appium
Postman
K6
Grafana
Allure
GitHub Actions
Azure DevOps
Selenium
Cypress
Playwright
Tosca
Katalon
TestComplete
Ranorex
GhostInspector
WebDriverIO
Appium
Katalon
WebDriverIO
Robot Framework
BrowserStack
LambdaTest
AWS Device Farm
Postman
Rest Assured
Karate DSL
Tosca API
JMeter
SoapUI
Apache JMeter
LoadRunner
Locust
BlazeMeter
LoadNinja
k6
OWASP ZAP
Burp Suite
Nmap
Metasploit
Jenkins
Docker
GitHub Actions
Azure DevOps
GitLab CI/CD
Cucumber
SpecFlow
Behave
Robot Framework
Jira
Xray
TestRail
Zephyr
Selenium
Cypress
Playwright
Tosca
Katalon
TestComplete
Ranorex
GhostInspector
WebDriverIO
Appium
Katalon
WebDriverIO
Robot Framework
BrowserStack
LambdaTest
AWS Device Farm
Postman
Rest Assured
Karate DSL
Tosca API
JMeter
SoapUI
Apache JMeter
LoadRunner
Locust
BlazeMeter
LoadNinja
k6
OWASP ZAP
Burp Suite
Nmap
Metasploit
Jenkins
Docker
GitHub Actions
Azure DevOps
GitLab CI/CD
Cucumber
SpecFlow
Behave
Robot Framework
Jira
Xray
TestRail
Zephyr
Everything You Need to Know About QA & Testing
How does QAstra use AI in the testing process?
We use AI to quickly create test cases, automatically fix broken scripts, spot risks early, and speed up the entire testing workflow.
How does AI help reduce test maintenance?
AI updates locators and adjusts test scripts whenever your application changes, which saves time and reduces manual rework.
What benefits can I expect from AI-powered QA?
You can expect faster releases, fewer bugs, lower maintenance efforts, better accuracy, and a more stable product overall.
What makes QAstra different from other QA companies?
We combine smart AI-driven testing with experienced QA professionals — giving you faster, smarter, and more reliable testing than traditional approaches.
Do you provide test reports?
Yes. We deliver clear, easy-to-understand reports that highlight bugs, test coverage, and valuable AI-based insights.