Organizations today face unprecedented challenges in leveraging the data they own: access to sensitive data needs to be controlled more efficiently; authentication methods need to be of utmost reliability; exchange of information needs guaranteed security and privacy. While these challenges are business-critical, solutions do exist today. However, there is a need to connect startups offering solutions with the organizations facing these problems in a collaborative manner. Tech4Trust is a Swiss accelerator program funded by Canton of Vaud and Canton of Geneva to address these challenges.
After six months of intensive work and selecting 27 startups for the program from 50 applications, Inpher won the 1st prize for its revolutionary work in Privacy-Preserving Machine Learning (PPML).
Inpher Wins Amongst 27 Startups
The Swiss “Tech4Trust” accelerator program supported 27 startups with a personalized GTM plan, refining marketing strategy, and helping present to the investors and potential clients. In addition, the program included coaching and mentoring sessions with 70 industry experts and seven specific workshops (+400 people) focused on negotiation, sales, marketing, legal and technical aspects.
Among the 27 startups, ten were selected for the final round by the Tech4Trust advisory board based on their performance since the program’s start. These ten finalists are Bug Bounty Switzerland, Cryptolex, Cysec, DuoKey, Inpher, Nym Technologies, Orbitalize, Origin Food, PXL Vision, and Strong Network.
Inpher, Inc. was awarded the first by Raphaël Conz, Vaud economic promotion (SPEI). The 2nd prize was awarded to Strong.Network by Yan Borboën, Cybersecurity Leader at PwC, while the 3rd prize was awarded to DuoKey by Patrice Perche, Senior Executive Vice-President Worldwide Sales & Support at Fortinet.
Additionally, Jordan Brandt, CEO Inpher, shared, “As highlighted by the recent investment from the Amazon Alexa Fund, Inpher continues its industry expansion with customers in financial services, healthcare, IoT and consumer devices.”
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