Exavalu Launches ExAite™, an Agentic AI Platform Redefining Quality Engineering from Requirements to Release

AI-powered, chat-driven platform accelerates testing, reduces QA costs, and enables autonomous quality engineering.

Exavalu, a global consulting and engineering services firm specializing in insurance and regulated industries, today announced the launch of ExAite^tm (Exavalu Intelligent Test Engine), an agentic AI–driven Quality Engineering platform designed to transform software testing across the development lifecycle.

As organizations accelerate digital transformation adoption, quality engineering teams face fragmented processes, increasing maintenance efforts, and pressure to deliver faster releases. ExAite^tm addresses these challenges by unifying requirements, test design, execution, and insights into a single, intelligent AI-powered workflow through an intuitive chat-driven experience.

The platform helps organizations achieve

• 40–60% faster test cycles
• up to 45% lower QA costs by automating test generation, script creation, regression optimization, and defect analysis.

ExAite^tm interprets business requirements, generates structured test scenarios, and leverages historical defect intelligence to improve testing efficiency and coverage.

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At the core of ExAite^tm is an autonomous quality engineering model that continuously self-heals test scripts, adapts to application changes, and dynamically updates regression coverage, reducing repetitive maintenance effort and improving test stability in complex enterprise environments.

Unlike generic AI-powered testing tools, ExAite^tm is specifically engineered for the insurance ecosystem, with deep contextual intelligence for Guidewire and Salesforce environments. The platform combines insurance domain knowledge with requirement traceability, defect correlation, and business-rule validation to deliver more relevant and accurate testing outcomes.

Built for modern engineering ecosystems, ExAite^tm integrates seamlessly with CI/CD pipelines, supporting scalable continuous testing, AI-orchestrated execution, and real-time reporting. With stable, flake-free test execution, teams gain actionable visibility into quality metrics to drive faster, more informed release decisions.

“Traditional testing approaches are no longer sufficient to meet the pace and scale of modern digital transformations,” said Saurav Basu, CEO of Exavalu. “ExAite^tm enables organizations to embrace intelligent, connected quality engineering that improves speed, accuracy, and confidence in every release.”