Australian semiconductor startup Syenta has secured $26 million in funding as it looks to address persistent supply chain bottlenecks in artificial intelligence chip production. The funding round marks a significant step for the company as it advances a new manufacturing approach aimed at improving efficiency in the fast-growing AI hardware market.
Alongside the funding announcement, Pat Gelsinger, the former chief executive of Intel, will join Syenta’s board of directors. Gelsinger, now associated with Playground Global, brings deep industry expertise and is expected to play a strategic role in guiding the company’s growth and technological direction.
The startup is focused on solving a critical challenge in modern AI chip production. Today’s AI chips, including those developed by companies like Nvidia and Google, rely on advanced packaging techniques that connect multiple chip components into a single system. However, this packaging process has become a major bottleneck due to its complexity, cost, and time-intensive nature.
Syenta’s innovation lies in a new electrochemical stamping method that applies copper wiring onto a base layer with 40% fewer steps compared to traditional manufacturing processes. This technique eliminates the need for complex tools and significantly speeds up production, reducing manufacturing time from several hours to just minutes. The result is a more efficient system that can produce a higher volume of chip base layers each day.
As part of its expansion strategy, the company plans to open an office in Arizona, placing it close to major semiconductor manufacturing hubs such as Taiwan Semiconductor Manufacturing Company and Intel facilities. This move is expected to strengthen collaboration with industry partners and position Syenta at the center of global chip innovation.
Syenta is already working with several chip designers and aims to achieve high-volume production by 2028. With strong backing from investors including the National Reconstruction Fund and venture firms, the company is positioning itself as a key player in addressing one of the most pressing challenges in the AI supply chain.
