Fusion (by IPOR) Raises $

Moonlight AI

Democratizing access to genomic information for accurate cancer diagnostics.

Mosaic SoC

Semiconductors

KA-EX®

KA-EX is a Swiss health tech innovator redefining recovery and performance through clinically validated functional beverages and powders. Winner of the 2025 World Food Innovation Award, KA-EX combines science-backed functional efficacy with convenient, on-the-go delivery formats, setting a new standard for performance nutrition. At the core of its innovation is the proprietary VICAP dual-chamber system, enabling the stabilization and delivery of chemically sensitive active ingredients previously unviable in liquid form. Trusted by thousands of professional athletes, KA-EX has become one of Switzerland’s leading dietary supplement brands. Its products are widely available across pharmacies, major retailers, gyms, convenience channels, vending machines, and online — with expansion into the U.S. underway.

BAABUK Sàrl

BAABUK, headquartered in Switzerland with employees on three continents, is a socially and environmentally conscious designer and manufacturer of comfortable wool footwear. The brand was founded in 2013 by Dan and Galina Witting. Inspired by traditional Siberian Valenki boots, this husband and wife team quit their jobs to follow their passion of making products that are authentic to the past and responsible to the future. With four successful crowdfunding campaigns that have launched innovative collections of footwear, all made from “nature’s magic fiber”, Baabuk has sold over 100,000 pairs in over 60 countries to people who share the brand’s values and adventurous spirit. Baabuk is an ISPO Gold Winner as well as a certified B-Corp corporation thanks to a dedication to sustainability and community welfare. Baabuk continues to innovate the world of wool while striving to do right by customers, employees, and our planet.

Noemon

Noemon is a frontier research lab rethinking how AI learns. We are tackling the root causes behind the biggest constraints in modern AI: training cost, data dependence, brittle long-horizon behavior, and centralized deployment. Our work introduces a new scaling axis, one that can make AI cheaper to train and use, more capable across task, and easier to deploy across environments and devices. Because learning defines system requirements end-to-end, this also changes the hardware landscape. We are building in private and will share results soon.