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Leapwork

No-code AI-powered visual test automation platform

Overview

Leapwork offers an AI-powered visual test automation platform that makes software testing faster and easier across web, desktop, and virtual apps, with a no-code interface. Users build tests via drag-and-drop, record interactions with a smart recorder, and assemble tests from reusable sub-flows to reduce maintenance. It runs tests on multiple devices or in the cloud and provides planning, execution, documentation, and reporting to break silos in teams. The goal is to lower total cost of ownership while improving software quality and collaboration, with strong use cases for Microsoft Dynamics 365.

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About Leapwork

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Industries

Data & AnalyticsEnterprise SoftwareAI & Machine Learning

Company Size

201-500

Company Stage

Series B

Total Funding

$72M

Headquarters

Copenhagen, Denmark

Founded

2015

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Funding

Total Funding

$72M

Above

Industry Average

Funded Over

2 Rounds

Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
$62M
$65M
$100M

Company News

Yahoo Finance
Sep 30th, 2026
Leapwork Play launches with free tier, bringing enterprise governance to Playwright test automation

Leapwork has launched Leapwork Play, an AI-native enterprise platform for building, running, and managing Playwright test suites at scale. The platform addresses challenges enterprises face with AI-assisted development, where increased code generation has created bottlenecks in test management and compliance. Play connects to existing systems like Jira and Git repositories, generating Playwright tests from product knowledge. It offers automated maintenance that tracks codebase changes, comprehensive suite oversight with audit trails, and parallel execution without infrastructure setup. The platform includes role-based permissions and approval workflows for governance. Play joins Flow and Go in Leapwork's Continuous Validation platform. Customers report three times faster releases, 70% productivity increases, 90% fewer defects, and 75% faster time to value. The platform is available now at leapwork.ai. New accounts receive 1,000 free credits, with enterprise packages available through Leapwork's sales team.

GlobeNewswire
Sep 30th, 2026
Leapwork Play reaches general availability, adding enterprise governance and evidence to Playwright test automation.

Leapwork Play reaches general availability, adding enterprise governance and evidence to Playwright test automation. A free tier opens Play to any team considering running Playwright, and Play joins Flow and Go in Leapwork's Continuous Validation platform. September 30, 2026 08:00 ET | Source: Leapwork APS COPENHAGEN, Denmark, Sept. 30, 2026 (GLOBE NEWSWIRE) - Leapwork today made Leapwork Play generally available. Play is an AI-native enterprise platform built for building, running, and managing Playwright test suites at scale, and it graduates from early access with a free tier, self-service sign-up, and enterprise packages available through Leapwork and its Partner ecosystem. Enterprise release cycles have compressed from quarters to days, and AI-assisted development is now standard practice. Google Cloud's 2025 DORA report, drawn from a survey of nearly 5,000 technology professionals, found that 90% use AI at work, that the time saved writing code is being spent auditing and verifying it, and that rising AI adoption brings gains in delivery throughput and increases in delivery instability together. A testing phase that runs before release has become the thing standing between a finished feature and the customer waiting for it. Continuous Validation is Leapwork's term for the alternative: quality checked and evidenced continuously, at the speed the code arrives. For modern web applications, the open-source Playwright framework has become what teams reach for to work at that pace, and the organizations adopting it fastest are now large enterprises in banking, insurance, life sciences, and manufacturing. In those environments, a test suite doubles as an audit artifact. An auditor asks which requirement a test covers, who approved it, and what the system actually did the last time it ran. Play answers those questions. Generation speed also created a volume problem. Enterprises now run far more tests, written by far more teams, than their review and reporting practices were built to handle, and the practical question becomes managing the suite rather than adding to it. "Generating a test with AI became table stakes this year, and Playwright's own agents do it well," said Donovan Brady, VP of Developer Relations at Leapwork. "All that did was move the bottleneck. What slows an enterprise team down now is proving where a test came from and managing thousands of them across dozens of teams once they exist. That is the work Play does." Play sits above the framework and leaves the test runner exactly where teams already trust it. Engineers connect Play to the systems where their product knowledge already lives, including Jira, Git repositories, and product documentation, and Play builds a knowledge base from those sources, then generates Playwright tests grounded in that context. Teams can also record a user journey directly in the browser and have Play turn it into a maintained test. Existing Playwright suites import as they are. The generated output is standard Playwright code, and teams run it inside Play, in their own CI pipeline, or through an MCP server from an AI coding assistant. Play natively integrates with the frontier models teams already use, including Claude, ChatGPT, Gemini, and Copilot, so teams keep the tools they know and stay free to switch as models change. Play adds three things enterprise teams have historically built and maintained themselves: * Maintenance that tracks the codebase. Connect a Git repository and Play reads each push for changes that materially affect functionality or the interface, then recommends the specific suite updates those changes call for. Locator repair and self-healing handle the routine drift underneath. * One view across the whole suite, and a record that holds up under audit. Play shows where each test ran, what passed and what failed, which tests are flaky and how often, and how coverage is spread across teams and applications. Every test traces back to the requirement, ticket, or document behind it, and Play retains authoring history, changes, approvals, and full run logs as exportable evidence, with role-based permissions and approval workflows governing who can create and run what. * Execution with nothing to install. Play manages browsers natively and runs suites in parallel at enterprise scale, with environment and data management built in, so a team gets to its first run without provisioning any infrastructure. Play is the third product in Leapwork's Continuous Validation platform, joining Flow, for visual regression testing, and Go, for performance testing. Each product runs on its own, and teams that adopt more than one get shared governance, shared evidence, and a single view of validation coverage across the stack. Across the Leapwork platform, customers report 3x faster releases, a 70% increase in productivity, 90% fewer defects, and 75% faster time to value. Availability and pricing Leapwork Play is available today at leapwork.ai. New accounts receive 1,000 credits at no cost, with additional credits available for purchase via credit card inside the product. Enterprise packages, which include the full governance, security, and audit capabilities, are available through Leapwork account teams. About Leapwork Leapwork is the Continuous Validation platform used by the world's largest enterprises to validate the software their businesses run on. Customers include Mercedes-Benz, PayPal, and BNP Paribas. The company is headquartered in Copenhagen, Denmark, with offices across Europe, the United States, and Asia. Learn more at leapwork.com.

SD Times
Jun 11th, 2026
Leapwork, Mavim announce partnership to accelerate Microsoft Dynamics 365 transformation.

Leapwork, Mavim announce partnership to accelerate Microsoft Dynamics 365 transformation. Published: June 11th, 2026 BOSTON and COPENHAGEN - Leapwork and Mavim today announced a strategic partnership that brings continuous validation to Microsoft Dynamics 365 transformation programs. The Microsoft Business Process Catalog gives enterprises a standardized, best-practice foundation for designing and aligning Dynamics 365 implementations. Mavim and Leapwork's partnership will connect Microsoft's standard business processes to real-world execution and continuous validation. Mavim structures Microsoft Business Process Catalog processes into solution blueprints that AI agents and delivery teams can execute consistently. Leapwork validates that Dynamics 365 and integrated systems run those processes correctly through functional and regression testing, end-to-end performance and load testing, and agentic AI orchestration across the full delivery life cycle. The result is a transformation program where business intent and system execution stay aligned, reducing implementation time, cost, and rework significantly. The partnership covers the full Dynamics 365 delivery lifecycle, including end-to-end performance and load testing at production scale, giving enterprises governed, auditable coverage across every system their transformation touches. "Enterprises that prioritize process design and continuous validation are able to realize the full value of their Dynamics 365 investment faster, with greater trust, and at a fraction of the implementation risk," said Kenneth Ziegler, CEO at Leapwork. "We are thrilled to partner with Mavim to make that a reality for enterprises running Dynamics 365 at scale." Direct outcomes of the Mavim-Leapwork partnership will include: * 20-30% faster implementations through structured fit-to-standard and reduced rework for system integrators * Up to 50-70% reduction in manual regression efforts for IT and delivery teams * Lower implementation costs and faster time to value for organizations investing in Dynamics 365 due to reduced effort and faster delivery Article tags.

Associated Press
Apr 15th, 2026
Leapwork launches AI-native continuous validation platform with agentic test automation and performance testing

Leapwork has launched its Continuous Validation Platform, a fully agentic offering comprising three interconnected products designed to help enterprises ship software faster across the full development lifecycle. The platform is application agnostic, covering AI, web, desktop, mobile, legacy mainframe and major enterprise software including SAP, Oracle and Salesforce. The Copenhagen-based company reports delivering up to 75% faster test automation implementation and a 50-70% reduction in test maintenance effort in live customer environments. According to a recent Leapwork study, 88% of software development professionals consider AI a priority, whilst quality assurance budgets are rising from 25-35% to 35-40% in the AI era. The platform includes Leapwork Studio for no-code test automation, Leapwork Performance for load and API testing, and Leapwork AI Studio for AI-native test creation and orchestration, launching in preview in May.

SiliconANGLE Media
Apr 15th, 2026
Leapwork hands off code validation to AI agents to keep pace with automated software development.

Leapwork hands off code validation to AI agents to keep pace with automated software development. Danish agentic artificial intelligence startup Leapwork ApS has announced the launch of its fully automated Continuous Validation Platform, aiming to help enterprises keep up with the velocity of generative AI software development. The rise of AI "vibe coding" means that software development has accelerated to breakneck speed, enabling enterprises to deploy new code faster than ever before. That's great for innovation, but it dramatically increases the risk of teams accidentally breaking something. Leapwork's new Continuous Validation Platform is meant to prevent that. To keep pace with the volume of AI-generated code being shipped, it too is a fully automated "agentic" platform that aims to provide a kind of safety net for developer teams. The idea is to ensure every bit of code, whether written by humans or AI agents, is validated at every step of the development lifecycle and in every environment. The startup is taking aim at a widening "trust gap" in software engineering. Citing its own research, it says 88% of software engineers now prioritize AI. That's having a dramatic and negative impact on their quality assurance budgets, which have swollen from 35% to 40% of their total spend, on average. The issue is that traditional code testing tools cannot keep pace with the compressed release cycles of AI-generated software. Bots can generate new code in minutes, compared with hours for human developers, yet their outputs can be a lot more unpredictable. So when AI builds software, there needs to be more emphasis on validation - proving that the code works in a deterministic and auditable way so it can be safely deployed in production. Chief Executive Kenneth Ziegler said the Continuous Validation Platform is "application-agnostic," which means it can be used to validate code across modern web applications, mobile and even legacy systems such as Oracle and SAP. The platform consists of three main components, including Leapwork Studio, which is a no-code engine featuring "AI Automation Blocks" that aim to validate if AI outputs are correct and visualize data in the same way as humans do. The second component is Leapfrog Performance, which integrates performance and application programming interface testing into the software development workflow. With this, engineering teams can import their existing JMeter scripts into their workflows and use them to model real-world traffic scenarios. Finally, Leapwork AI Studio is intended to be the "agentic" heart of the platform, built to validate code written by tools such as Claude Code and Cursor. It's based on an intelligent knowledge base that ingests newly generated code and designs the test plans and scripts needed to validate it. Ziegler said Leapwork wants to become the "deterministic foundation" of the automated software development era. He said developer teams are excited about agentic automation, but are also facing "unparalleled anxiety" over the stability of their AI-generated code. "Continuous validation is expensive and tricky to figure out without domain expertise, history and experience," he said. "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." Image: siliconangle/meta AI. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

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