Four start-ups are in the final of the Swiss FinTech Awards

(CONNECT) ForenSwiss, Calvin Risk, Porters Group and BLP Digital are the nominees for the final of the Swiss FinTech Awards 2026, according to a press release. Two categories are taken into account: Early Stage for promising young companies and Growth Stage for more mature growth companies on an expansion course. The prizes will be awarded on June 23 as part of the first Swiss FinTech Week. It is jointly organized by the Finanz und Wirtschaft Forum and the Tenity innovation ecosystem and will take place in Zurich from 19 to 25 June.

The ForenSwiss team from Zollikofen supports financial companies in the fight against online crime and money laundering. The start-up, founded in 2025, uses the tools of cybercrime: the fully automated chatbots from ForenSwiss interact with fraudsters and extract relevant information. This enables financial institutions to disclose criminal money flows and networks in order to stop attacks early and in a targeted manner and protect customer accounts. 

Also founded in 2025 by industry veterans and based in Zurich, the Porters Group is an outsourcing partner that automates traditional, recurring and often strictly regulated banking processes for its customers with the help of independently operating artificial intelligence (AI) systems. The intelligent agents take over the often still analog work in the back office. This includes the blocking of accounts, chargebacks or coordination in the event of insolvencies

The two finalists in the Growth Stage are GLP Digital and Calvin Risk. BLP Digital AG, which was spun off from the Swiss Federal Institute of Technology in Zurich and the University of St.Gallen in 2019, brings order and speed to the historically grown background processes of large companies. The Zurich-based company is building digital twins of existing IT systems and has hundreds of specialised, pre-trained AI agents working hand in hand. 

Calvin Risk from Kloten is developing a platform for the validation, testing and governance of AI systems. This platform enables companies to systematically review AI models, assess risks and better meet regulatory requirements. Continuous testing minimises the risk of security gaps, systematic distortions or failures during operation. ce/mm