Zurich Startup Klarent Raises $8 Million for AI Software Testing That Runs the Same Way Every Time
Klarent, a Zurich software-testing startup, has raised $8 million in a seed round led by Mosaic Ventures, startupnews.ch reported on October 10. Moonfire Ventures joined, along with business angels including former Google director Jürgen Galler, Harris Barton and AngelInvest Ventures. Other media put the round at about €7.1 million. The company announced the funding on October 9.
Klarent builds an autonomous testing platform for web, iOS and Android apps with a clear split of labour. Language models write and maintain the test code, but the tests themselves run deterministically, behaving the same way on every run, and a person verifies each result. Customers pay only for verified results. The company names JD Sports, the NZZ and Sixt as clients and says banks and insurers are its next target.
Klarent was founded by chief executive Asheem Panakkat and chief technology officer Momchil Ivanov, both former senior engineers at Google who worked on Lens and Shopping. Mosaic partner Chandar Lal praised the focus on determinism: the AI writes the tests, but it does not execute them. The new money will mainly fund a launch in the United States, along with more developers and a broader platform for web and mobile.
What it means in practice
As coding assistants produce software in minutes, the bottleneck shifts to checking it. Classic test automation often breaks when an interface changes, while tests driven entirely by AI can be hard to trace because the model may decide differently each time. Klarent sits between the two, which suits regulated sectors that need audit trails: a test that passed yesterday and fails today for no reason is of little use to a bank. The business model has a cost, though. Human reviewers are expensive, so margins will depend on how much of their work automation can absorb over time.
The round adds to a busy stretch for Swiss AI companies, after Exclaim’s $4.3 million raise for data-centre robots and as Swiss AI job ads jump 32% with SMEs driving hiring. Making AI systems dependable is also a research theme in Zurich, as an ETH lab’s work on LLM honeypots shows.
What to watch: Klarent’s first US customers, whether it signs a Swiss bank or insurer, and whether the share of human review falls as the platform matures.