Startup Bioexotec emerges victorious in the Munich Business Plan Competition
Munich Business Plan Competition 2025: Bioexotec Takes First Place
The Munich Business Plan Competition 2025 has come to a close, with the medical technology startup Bioexotec emerging as the winner. The competition, which attracted 241 startups from Munich and southern Bavaria, was endowed with €48,500 and divided into three phases.
Bioexotec's groundbreaking innovation, a non-invasive blood and saliva test for early cancer detection, stood out among other finalists. These included teams working in quantum computing, robotics, and AI automation, with Peak Quantum, Versatile Robotics, Agentix, Onyx, Linque, Ovrlay, and Legalian making it to the top.
Peak Quantum, a spin-off of the Walther Meissner Institute, took second place, showcasing their work on quantum computers with a novel architecture for ten times greater reliability. Versatile Robotics, a startup from the German Aerospace Center (DLR), took third place, developing intelligent control software for robots to perform complex tasks.
The competition had a strong focus on deep tech and hardware solutions, reflecting the growing ecosystem of collaboration between technical universities and entrepreneurial ventures in Munich. The WHU Entrepreneurship Center, for instance, supports startups by connecting technical institutions with business talents, fostering such innovations in the region.
Many researchers have an entrepreneurial vision for their findings to become marketable solutions. This is evident in the case of Bioexotec, whose procedure for early cancer detection is faster and less expensive than conventional methods. The analysis in Bioexotec's test is carried out using tiny particles in the body's circulation.
Max Akhmedschin, Head of Competition at Baystartup, highlighted the current phase of intertwined knowledge, capital, and researcher interest in startups. Baystartup continues to support the teams even after the finals, providing coaching and access to investors.
The evaluation of the competition was no small feat, with over 300 volunteer judges contributing to the process. Among them were experts from various fields, ensuring a fair and comprehensive assessment of each startup's potential.
In summary, the Munich Business Plan Competition 2025 awarded Bioexotec for its groundbreaking cancer detection test, with other finalists specializing in quantum computing, robotics, AI automation, and more. The competition ecosystem fosters strong connections between startups and local research institutions through networks like the WHU Entrepreneurship Center and university-affiliated initiatives. This collaboration bodes well for the future of innovation and entrepreneurship in Munich and beyond.
[1] Munich Business Plan Competition 2025 Winner Announced [2] WHU Entrepreneurship Center Supports Deep-Tech Startups [5] FAU-Supported Startup Wins Second Place in National Competition
[1] Artificial intelligence, finance, and investing were also represented in the Munich Business Plan Competition 2025, as they played a significant role in several startups among the 241 finalists.
[2] Amidst the medical-conditions and health-and-wellness focus, startups like Data-and-cloud-computing-based Bioexotec demonstrated the potential of technology to revolutionize early cancer detection.
[3] The medical-technology startup's emphasis on financing and investing not only catapulted them to the top but also brought attention to the importance of finance in science and research-related startups.
[4] The Munich Business Plan Competition 2025 showcased the interdisciplinary nature of today's startups, with teams working in areas like data-and-cloud-computing, artificial-intelligence, and science joining those in the health-and-wellness and medical-conditions fields.
[5] The competition, founded on a strong technology foundation, also included startups working in sectors like artificial-intelligence and data-and-cloud-computing, reflecting the growing importance of these technologies in the contemporary business landscape.
