Zurich-based artificial intelligence startup Klarent has secured €7.13 million in seed funding to expand its autonomous software testing platform, strengthen its engineering capabilities and enter the United States market.
The funding round was led by London-based Mosaic Ventures, with participation from Moonfire Ventures, AngelInvest Ventures and individual investors including former Google director Jürgen Galler and Harris Barton.
Founded in 2023, Klarent, previously known as fore ai, develops AI-powered software testing technology designed to help businesses identify problems in increasingly complex applications. Its approach focuses on making automated testing more predictable as companies adopt AI tools to generate software code at greater speed.
Klarent Uses AI to Write Tests, Not Execute Them
Unlike testing systems that rely on large language models throughout the testing process, Klarent separates AI-generated test creation from execution.
Its AI agents use large language models to write test code, which is subsequently executed through deterministic processes. This means the same test can be run repeatedly under identical conditions, producing consistent results.
The distinction matters because language models can produce variable outputs, making them less suitable for testing processes that require reproducibility and dependable failure detection.
Klarent also incorporates a human verification layer into its platform. The company says this helps ensure customers are charged for verified outcomes rather than unvalidated automated activity.
The technology is designed to solve one of the problems with AI-assisted software development: even though coding software speeds up the process, the quality assurance process needs to determine whether or not the application functions properly.
Chandar Lal, Partner at Mosaic Ventures, highlighted this separation between AI-generated tests and repeatable execution as a central reason for the investment.
“With AI, code generation is scaling faster than our ability to test it, so QA will become the key bottleneck,” Lal said.
He added that Klarent’s emphasis on deterministic testing was a significant factor in the firm’s decision to support the company’s expansion.
Former Google Engineers Lead Klarent
Klarent was established by former Google engineers Asheem Panakkat, its Chief Executive Officer, and Momchil Ivanov, its Chief Technology Officer.
The founders’ experience in software engineering and information retrieval helped shape their approach to automated quality assurance.
They identified an emerging mismatch between the increasing volume of software produced using large language models and the capacity of conventional testing processes to validate that software.
Rather than focusing exclusively on evaluating AI models, the founders moved towards building technology capable of testing the applications generated with their assistance.
The company’s strategy reflects a broader technical distinction between accelerating software creation and ensuring that the resulting code operates reliably.
JD Sports, NZZ and Sixt Among European Customers
Klarent has established relationships with several European enterprise customers, including retailer JD Sports, Swiss media group NZZ and mobility services company Sixt.
At JD Sports, the platform is used to automate testing involving multiple systems across the retailer’s e-commerce operations.
Such workflows can involve interactions between applications, interfaces and underlying services, making them more complicated to test than individual software functions.
Klarent’s customer base provides an initial commercial foundation for its planned international expansion.
US Expansion and Financial Services in Focus
Klarent plans to use its €7.13 million investment to enter the US market while expanding its engineering team and developing broader testing capabilities for web and mobile applications.
Testing technology used in these environments must address demanding reliability requirements, although automated test generation alone does not establish compliance with financial-sector regulations or guarantee that software defects will be eliminated.
Klarent’s task will be to leverage their current enterprise connections in order to expand into new markets and prove that their testing process works in more complicated software environments.
The funding also highlights an emerging area of enterprise AI investment. As more businesses introduce AI-assisted coding tools, the systems responsible for checking and validating software may become increasingly important to development workflows.
Klarent is positioning itself within that market by combining AI-assisted test creation with conventional, repeatable execution methods.
Its next phase will depend on converting that technical approach into broader commercial adoption, particularly as it moves beyond its established European customer base and into the competitive US enterprise software market.
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