As software development accelerates in the age of AI-assisted coding, one persistent challenge continues to slow teams down, testing. Stockholm based startup Endform is tackling this issue head on with a platform designed to dramatically speed up browser based end to end testing. The company has now secured €1.5 million in funding to expand its solution and meet growing demand for faster, more scalable testing infrastructure.
Investor Confidence in Developer Infrastructure
The funding round was led by Alliance VC, Antler, First Fellow, and Greens, alongside a group of strategic angel investors. This backing highlights increasing investor interest in developer tools that improve productivity and remove friction from software delivery pipelines.
The capital will be used to grow Endform’s team and accelerate adoption of its platform across global markets.
Rethinking End to End Testing
Endform focuses on browser-based end-to-end testing, a critical component of ensuring web applications function correctly from a user’s perspective. Traditional testing approaches often struggle to keep pace with modern development cycles, especially as applications become more complex and test suites grow larger.
The company’s platform is built specifically for the Playwright ecosystem, a popular framework used by developers for automated browser testing. By leveraging cloud infrastructure, Endform distributes tests across multiple machines, enabling them to run in parallel rather than sequentially.
This approach significantly reduces the time required to complete testing pipelines, allowing engineering teams to receive faster feedback and iterate more quickly.
Parallel Testing at Scale
A key innovation behind Endform’s platform is its ability to decouple the number of tests from the time it takes to execute them. Each test runs on a separate cloud machine, while results are coordinated centrally. This architecture enables organisations to run large and complex test suites simultaneously without performance bottlenecks.
With only a minimal change required, such as a single command adjustment, teams can transform their existing Playwright test suites into fully parallelised workflows. This simplicity makes it easier for organisations to adopt the platform without overhauling their current testing setups.
By enabling hundreds or even thousands of browser instances to run at the same time, Endform helps teams maintain high test coverage while keeping development cycles fast and efficient.
Meeting the Demands of AI Driven Development
The rise of AI-assisted coding tools has significantly increased the speed at which software is developed. However, this rapid pace also places greater pressure on testing infrastructure, which must keep up with frequent code changes and deployments.
Endform is targeting this growing need within the quality assurance infrastructure market. As companies push for continuous integration and continuous delivery, delays in testing can quickly become a bottleneck that slows down innovation.
Co-founder Jakob Norlin highlighted that as test suites expand, they often hinder engineering velocity. Endform’s solution addresses this by allowing developers to focus on building and shipping code, rather than waiting for lengthy testing processes to complete.
Early Adoption and Future Growth
Since launching its platform in March 2025, Endform has already gained traction among companies in Sweden and the United States. Among its early adopters is Lovable, reflecting the platform’s relevance for organisations seeking to scale their development workflows.
The new funding will support the expansion of Endform’s core team and further development of its technology. As demand for efficient testing solutions continues to grow, the company aims to position itself as a key player in modern developer infrastructure.
By removing one of the most persistent bottlenecks in software development, Endform is helping teams move faster without compromising on quality. In an industry where speed and reliability are equally critical, its approach could redefine how testing is done at scale.