Overview
Modern enterprises demand speed, precision, and reliability in software delivery. Traditional testing approaches often fall short when handling dynamic applications, complex architectures, and continuous release cycles. AI-led test automation transforms the Software Testing Life Cycle (STLC) by combining artificial intelligence with human oversight in a Maker-Checker model.
From predictive defect analysis to self-healing scripts and GenAI-driven test case generation, AI accelerates execution while humans validate results to ensure enterprise-grade quality. This hybrid approach not only reduces costs and risks but also ensures applications perform flawlessly at scale, across platforms and industries.
- 40% faster release cycles through AI-led automation
- 90% reduction in defect analysis time through AutoAnalysis, pattern detection, and error bucketing
- AI-powered in-house test platform
Our services
Comprehensive testing solutions to validate speed, stability, and resilience across diverse platforms and workloads.
Generate optimized test cases using AI-driven algorithms, reducing redundancies, enhancing coverage, and accelerating validation across functional, regression, and exploratory testing.
Deploy intelligent automation frameworks that adapt to UI or code changes, minimizing script breakage and ensuring consistent, scalable test execution across applications.
Integrate AI-led testing seamlessly into CI/CD pipelines to deliver faster feedback, minimize risks, and maintain high-quality releases without slowing down deployments.
Leverage AI for synthetic test data generation and environment virtualization to optimize coverage, reduce dependencies, and accelerate testing across complex scenarios.
Use machine learning models for predictive defect analysis, root cause identification, and actionable insights, helping teams proactively prevent failures and reduce rework.
Our expertise
Start your AI-led testing journey today and accelerate digital transformation.
Award and recognition
Recognized globally for excellence in AI-led software testing and engineering.
Featured in Everest Group’s QE Specialist Services Assessment for our Testing and Automation capabilities
Our strategic partnerships
Strengthen test automation with technology partnerships and ecosystem collaboration.
Boost cross-browser testing efficiency and speed with seamless integration across platforms and devices
Enhance the quality and speed of software delivery through AI-powered visual testing and monitoring
Test at scale on real devices hosted in the cloud, ensuring reliable performance across device ecosystems
Our performance testing tech stack
Expertise across leading tools, ensuring best-fit solutions aligned with business goals.
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Subscribe nowWhy partner with TO THE NEW?
Accelerated testing, expert engineers, and industry-aligned frameworks for scalable and cost-efficient solutions.
- One-stop shop with comprehensive QA services from consulting to support ensure seamless, risk-free delivery
- AI and GenAI enhance productivity, defect prediction, and testing accuracy across projects
- Lightweight Agile practices and a Maker-Checker model ensure faster, high-quality releases
- Integrated security testing ensures a strong digital posture across cloud and hybrid systems
- Our in-house, AI/ML-powered accelerator, PRISM, drives faster automation with higher test precision
FAQs
What is AI-led test automation and why is it important?
AI-led test automation uses machine learning, predictive analytics, and GenAI to accelerate the Software Testing Life Cycle (STLC). It helps enterprises reduce costs, detect defects earlier, and release software faster without compromising quality.
How does AI improve test coverage and accuracy?
AI algorithms analyze application behavior, user flows, and historical data to generate optimized test cases. Combined with human validation, this Maker-Checker model ensures high accuracy and minimizes overlooked defects.
Can AI-led test automation work with CI/CD pipelines?
Yes, AI-enabled test automation integrates seamlessly into CI/CD workflows. It delivers continuous feedback, ensures faster releases, and prevents quality leaks in agile and DevOps environments.
What are the benefits of self-healing automation?
Self-healing frameworks adapt test scripts to UI or code changes automatically. This reduces test maintenance effort, accelerates execution, and ensures resilient test automation.
How does Generative AI enhance test automation?
GenAI generates scripts, test data, and scenarios automatically, cutting manual effort. It boosts efficiency, expands coverage, and shortens test cycles while maintaining reliability.