Exavalu Unveils Agentic AI Platform ExAite for Quality Engineering

ExAite is designed to automate testing workflows, reduce QA costs and accelerate software release cycles across enterprise environments.

Exavalu has launched ExAite™, an AI-driven quality engineering platform designed to automate and streamline software testing workflows across the development lifecycle.

The platform combines requirements analysis, test design, execution and reporting into a single chat-driven interface aimed at reducing manual testing effort and accelerating software releases.

According to Exavalu, ExAite can help organizations shorten test cycles by 40% to 60% and reduce QA costs by up to 45% through automated test generation, regression optimization and defect analysis.

The platform uses an autonomous quality engineering model that can update regression coverage, adapt to application changes and self-heal test scripts to reduce maintenance requirements in enterprise testing environments.

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Exavalu said the platform is designed for insurance and regulated industries, with support for Guidewire and Salesforce environments. The company said the system includes features such as requirement traceability, defect correlation and business-rule validation.

ExAite also integrates with CI/CD pipelines to support continuous testing and real-time reporting workflows.

“Traditional testing approaches are no longer sufficient to meet the pace and scale of modern digital transformations,” said Saurav Basu, CEO of Exavalu.

Exavalu is a technology consulting and engineering services company focused on insurance and regulated sectors, with operations across the United States, Canada and India.

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