GEMESYS Secures €8.6M in Pre-Seed Funding to Lead European AI Chip Innovation

GEMESYS, the fast-emerging European AI hardware startup, has reached the successful pre-seed funding of €8.6 million. This funding will position the company as a potential leader in next-generation AI chip technology and to significantly contribute to Europe’s technological independence and innovation in the AI hardware sector.

The funding round was led in equal portions by Amadeus APEX Technology Fund and Atlantic Labs, with additional participation from NRW.BANK, Sony Innovation Fund, and Silicon Valley’s Plug and Play Tech Center. The capital will be invested in accelerating GEMESYS’s research and development activities and further expanding its team, propelling the innovative chip architecture intended for applications in the next generation of AI technologies.

The AI hardware landscape has largely been driven by Asian and United States companies, but GEMESYS is set to break this pattern as the first European player of AI chips in pursuit of the latest AI chips. The company is serious about delivering technological solutions to address the growing demand for AI innovation with a localized degree of independence from the dominant international players.

Perhaps the heart of GEMESYS innovation is focusing on improving efficiencies in neural networks. Neural networks are inherently based on the brain, but the current version suffers from inefficiencies, making it energetically expensive to train and run. Energy consumption is one of the major hurdles for the effective deployment of artificial intelligence on mobile and edge devices. GEMESYS is responding to this challenge by designing a chip architecture tailored for AI training and inference with the objective of running on the edge devices directly. GEMESYS can unlock the capability in devices to process and learn data locally by using its advanced architecture and memristor technology, thus heavily reducing the requirement for cloud-based computing and augmenting real-time AI applications.

This is particularly useful in applications across a wide range of industries, especially in mobile technology, automotive, and IoT (Internet of Things). Using their innovative chip technology, GEMESYS is unlocking new possibilities in these areas, bringing faster, more efficient AI applications that function independently, not with a focus on remote data centers.

Dr. Dennis Michaelis, CEO of GEMESYS, emphasized the company’s mission to bring AI learning capabilities to every device, particularly through technology developed within Europe. He stated, “At GEMESYS, our mission is to bring learning capabilities to every device through technology developed in Europe. Building on this foundation, we’re pioneering new applications that empower edge devices like never before—positioning Europe as a leader in distributed intelligence and setting a new standard for industry innovation.”

Ion Hauer, a representative of APEX Ventures, voiced his enthusiasm for GEMESYS’s potential, stating, “We’re excited to see GEMESYS redefine what’s possible in Edge AI. Its technology can transform countless industries and push the boundaries of on-device inference and training.” Hauer’s statement reflects the growing recognition of the company’s ability to make a significant impact in the AI hardware space.

GEMESYS: The Next Step
While the company continues to develop the next step in its development, focusing on localized AI processing is a bright solution to many of the energy inefficiencies associated with current AI systems. By providing AI capabilities directly on edge devices, GEMESYS will help pave the way for a future where AI can be seamlessly rolled out in numerous industries without major energy costs and inefficiencies.

The funding round sees GEMESYS poised as one of the best bets in the European landscape of AI hardware, poised to make a contribution to the continent’s efforts at achieving technological independence in the burgeoning field of artificial intelligence. As the company goes on to hone its technology further and expand its team, it is well positioned to contribute significantly toward the future of AI, particularly in the field of edge computing.