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Ventures

Katalysen portfolio venture Med4Cast wins CHF 40’000 and proceeds to next round of Venture Kick

February 5, 2024
Venture Kick was launched in 2007 with the vision to double the number of spin-offs from Swiss universities, to accelerate their speed-to-market and to raise the attractiveness of these young companies among professional investors and industry partners. Selected members from a jury pool with more than 200 leading startup experts in Switzerland continuously evaluate high-potential startups through out the year, with “winners” proceeding from stage 1, to stage 2, to stage 3, and access to up to CHF 1 million in funding. Divea, Flink Robotics, and Katalysen portfolio venture Med4Cast were selected at Venture Kick's second stage of financial and entrepreneurial support.Venture Kick was launched in 2007 with the vision to double the number of spin-offs from Swiss universities, to accelerate their speed-to-market and to raise the attractiveness of these young companies among professional investors and industry partners. Selected members from a jury pool with more than 200 leading startup experts in Switzerland continuously evaluate high-potential startups through out the year, with “winners” proceeding from stage 1, to stage 2, to stage 3, and access to up to CHF 1 million in funding. Divea, Flink Robotics, and Katalysen portfolio venture Med4Cast were selected at Venture Kick's second stage of financial and entrepreneurial support.

Venture Kick was launched in 2007 with the vision to double the number of spin-offs from Swiss universities, to accelerate their speed-to-market and to raise the attractiveness of these young companies among professional investors and industry partners. Selected members from a jury pool with more than 200 leading startup experts in Switzerland continuously evaluate high-potential startups through out the year, with “winners” proceeding from stage 1, to stage 2, to stage 3, and access to up to CHF 1 million in funding. Divea, Flink Robotics, and Katalysen portfolio venture Med4Cast were selected at Venture Kick's second stage of financial and entrepreneurial support.

Med4Cast is addressing the challenge of imprecise pre-surgical assessments by harnessing cutting-edge AI technology to assist surgeons in determining the necessity of surgery. Their inaugural product is designed to deliver personalized patient care, optimizing surgical outcomes and minimizing the risks of complications or repeat surgeries. This approach not only improves patient outcomes but also contributes to the reduction of unnecessary surgeries, fostering a more efficient and cost-effective healthcare system.

Led by renowned surgery and imaging experts, a proficient medical software specialist, and a seasoned early-stage entrepreneur, Med4Cast is poised to transform pre-surgery evaluations in the musculoskeletal domain through their advanced AI diagnostic tool. Utilizing proprietary patient and imaging data alongside sophisticated machine-learning algorithms, the company aims to provide unparalleled precision in predicting surgical outcomes. Initially concentrating on shoulder surgeries, specifically Rotator Cuff Repairs (RCR), a market boasting an estimated 570,000 annual procedures in the U.S. alone, Med4Cast aspires to secure a substantial share of the rapidly expanding diagnostic solutions sector—a multi-billion-dollar industry. This trajectory signifies a pivotal moment in healthcare diagnostics, with plans to extend their focus to various pathologies.

The recently awarded funds will be instrumental for Med4Cast in establishing an online landing page, enhancing market comprehension through interactions with key opinion leaders in RCR surgery in Switzerland and the U.S., and gaining access to proprietary market research databases. Simultaneously, the startup aims to identify potential partners for submission to a European Project related to Value-Based Healthcare, reinforcing their commitment to advancing healthcare diagnostics on a global scale.


For more information: https://www.venturekick.ch/CHF-40000-for-CO2-capture-at-the-source-a-software-for-robotic-material-handling-and-advanced-AI-diagnostics

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