Klarent, an autonomous software testing platform based in Zurich, Switzerland, announced on October 9, 2026 that it has raised $8 million in Seed funding. The round was led by Mosaic Ventures, with participation from Moonfire Ventures and a group of angel investors including Jürgen Galler, Harris Barton, and AngelInvest Ventures. The company, founded by former senior Google engineers Asheem Panakkat and Momchil Ivanov, will use the capital to expand into the United States following strong growth across Europe.
The Quality Assurance Bottleneck
The company argues that traditional QA is collapsing under the weight of AI-generated code. Manual testing is too slow, legacy automation is too brittle across platforms, and first-generation AI tools can be unpredictable and expensive. As coding agents produce more software, human testing capacity becomes a bottleneck that enterprises can no longer ignore.
A Founder Perspective from Google
Asheem Panakkat and Momchil Ivanov saw this problem emerging during their time at Google, where they worked on the Lens and Shopping products. They anticipated that large language models would become genuinely capable while the volume of shipped software would skyrocket. The open question for them was how to keep coding agents honest through a reliable feedback loop.
How Deterministic Autonomy Works
Klarent introduces autonomous agents that use LLMs only to author and adapt deterministic test code. This approach ensures that tests run reliably and repeatably, combining the speed of AI with the precision and cost efficiency of production engineering. The platform is backed by a human-in-the-loop service that verifies every result, so customers only pay for outcomes.
Cost Efficiency and Human Oversight
The company emphasizes that AI is used to write tests, not to run them, which reduces the unpredictability common in first-generation testing tools. This deterministic model gives enterprises confidence that their software verification is stable enough for production environments. It also addresses cost concerns by avoiding token-hungry autonomous testing processes that often fail to deliver consistent results.
Enterprise Traction Across Europe
Klarent has already gained traction across Europe with customers in e-commerce, media, travel, and financial services. Its clients include JD Sports, NZZ, and Sixt, with additional work underway for leading banks and insurance companies. At JD Sports, the company deployed agents that manage workflows across multiple systems, something the retailer's in-house SDET teams could not replicate.
Investor Confidence in a New Model
Mosaic Ventures Partner Chandar Lal said that code generation is scaling faster than the ability to test it, making QA a key bottleneck for the industry. He added that the founders recognized this challenge at Google before most of the market did. Their insistence on determinism was a major factor in the firm's decision to back the company.
US Expansion and Platform Roadmap
With the new funding, Klarent will establish its presence in the United States, which is the primary focus for this round. The company will also continue to grow its engineering team and deepen its cross-platform product across web and mobile. The expansion builds on momentum from European enterprises and positions Klarent to serve a broader global customer base.
As AI systems generate an increasing share of the world's code, the need for trustworthy verification is becoming a strategic priority. Klarent's expansion into the United States positions the company to support more enterprises while investing in the engineering talent needed to scale its platform. The Seed round provides the resources to pursue that opportunity at a time when quality assurance is shifting from a back-office cost center to a critical layer of trust.