Leapwork launches AI-driven continuous validation platform
Leapwork has launched a continuous validation platform for software testing and quality assurance, bringing together three connected tools in one system.
The Copenhagen-based company is targeting enterprises that manage software quality across functional automation, performance testing and AI-led orchestration. The platform is designed to work across web, desktop, mobile, legacy mainframe and major enterprise software environments, including SAP, Oracle, Salesforce, Dynamics 365, Workday and Citrix.
The launch comes as companies place greater emphasis on AI in software development and testing. Leapwork's research found that 88% of software development professionals view AI as a priority for their organisation, while 65% already use or are exploring AI for at least one testing activity.
Quality assurance and validation are also taking a larger share of software budgets as release cycles shorten and systems become more interconnected. In that environment, businesses face pressure to test faster while maintaining control over software changes and production releases.
Three products
The platform includes Leapwork Studio, Leapwork Performance and Leapwork AI Studio. Leapwork Studio is the company's existing visual no-code test automation product, now updated with AI functions intended to support test creation, data handling and fault diagnosis.
These functions include tools to validate AI-generated responses, extract information from screenshots and images, generate test data and transform data within test flows. The product is intended for deterministic execution in regulated and complex environments, with audit trails and explainable logic built into workflows.
Leapwork Performance is a new performance and load testing product, available now to platform customers. It includes API testing, cloud-based execution, CI/CD integrations, live monitoring dashboards and the ability to import JMeter scripts.
The addition expands Leapwork's offering beyond functional test automation into system performance and resilience testing. Many enterprises either skip load testing because of release pressure or use disconnected tools that are not closely linked to functional testing processes.
AI studio
The third part of the platform, Leapwork AI Studio, is aimed at engineering teams already making heavy use of AI in software development. It is designed for AI-led test creation, orchestration and validation, and includes cloud browsers, modern authentication support, record-edit-run workflows, Git-based version control and imports for source code, requirements and manual test cases.
It also supports testing for applications built with tools such as Claude Code, Codex, Cursor and Vercel. The product is intended to integrate with the engineering and QA environments, repositories and knowledge bases already used by development teams.
AI Studio is not yet generally available. It will first be offered in live preview, with a broader launch planned later.
Customer claims
In customer environments, the platform has delivered up to 75% faster test automation implementation, a 50% to 70% reduction in test maintenance effort and up to a 90% reduction in functional defects reaching production, according to Leapwork. It did not name the customers behind those figures.
The company is also positioning the platform as compatible with existing testing investments. Customers can import Playwright, Selenium and GitHub source code, and combine AI-driven tools with traditional automation where needed.
That approach reflects a broader shift among enterprise software teams, many of which are adding AI tools without abandoning earlier test frameworks and development processes. Businesses in regulated sectors, in particular, have been cautious about replacing established controls too quickly.
Leapwork said the platform is application-agnostic and can be used in cloud, on-premises and hybrid environments. That breadth may matter for large companies still running a mix of older business systems and newer AI-supported applications.
Executive view
Kenneth Ziegler, Chief Executive Officer, Leapwork, said the company developed the platform in response to a broad range of customer needs, from maintaining critical legacy systems to supporting teams working on AI-led software development.
"Over the past decade, Leapwork has earned the trust of the world's most well-known companies. With agentic development, it is a time of unparalleled anxiety and excitement, and our goal is enable our customers' current needs and future aspirations as a trusted validation partner on this journey," said Ziegler.
"Our customers have presented every use case across the spectrum, from maintaining large, crown-jewel systems to the most advanced agentic engineering pursuits. Continuous validation is expensive and tricky to figure out without domain expertise, history and experience. With the Leapwork platform, our customers get access to the velocity and intelligence of AI-native automation alongside proven deterministic execution that enterprises need to meet their quality and governance requirements. No other platform brings that combination to the full enterprise estate, regardless of where an organisation stands in its AI adoption," added Ziegler.