$8m · Seed · Software · Zurich, Switzerland
Zurich-based Klarent has raised $8m in Seed funding in a round led by Mosaic Ventures, with participation from Moonfire Ventures, Jürgen Galler, Harris Barton and AngelInvest Ventures, according to the company announcement and EU-Startups. Klarent says the capital will fund its US launch, engineering hires and broader testing across web and mobile applications.
Deterministic tests for AI-written code
Klarent is building a multi-agent quality-assurance system for enterprise software. Its agents map an application, plan test cases, generate test scripts, verify the plan and code, run the suite, and report failures. The key design choice is that large language models author and adapt the test code, while the resulting tests execute deterministically. That gives engineering teams repeatable runs rather than asking a probabilistic model to decide afresh each time whether an application works.
The company also keeps humans in the verification loop and says customers pay for verified outcomes. That combination is meant to address two different failure modes: manual QA that cannot keep pace with faster software releases, and conventional automated scripts that become expensive to maintain as interfaces change. Klarent says its tests can self-heal when an interface changes, while customers can deploy the platform in the cloud, a private cloud or on-premises.
Klarent names JD Sports, NZZ and Sixt as customers. At JD Sports, the company says its agents automate workflows spanning several systems in the retailer's ecommerce pipeline. A September Microsoft Marketplace launch added another distribution route for enterprise buyers and linked the product to existing Azure procurement and management workflows.
Verification economics will shape the expansion
Mosaic partner Chandar Lal framed the investment around a widening gap between AI-assisted code generation and teams' ability to test what is produced. Klarent's deterministic execution is a practical answer for enterprises that need reproducible evidence, particularly in banking and insurance, where the company is now expanding.
The commercial trade-off sits in the verification layer. Human review can lower adoption risk and support outcome-based pricing, but it also creates a service cost that must fall relative to usage if the model is to scale efficiently. The US expansion will therefore test more than demand: it will show whether Klarent can preserve enterprise confidence while automating enough of planning, maintenance and verification to keep delivery economics attractive.
Founded in 2023 by former Google engineers Asheem Panakkat and Momchil Ivanov, the company previously operated as fore ai. The financing gives the team room to turn its early European references into a broader enterprise footprint without abandoning the repeatability that underpins its pitch.
