Sinsegye CEO Dr. Ma Jun Invited to WeStart 2025 Venture Capital Conference: Discussing Original Breakthroughs and Global Solutions in Smart Manufacturing

Recently, the WeStart 2025 Venture Capital Conference, themed "China's Tech Innovation, Global Opportunities", concluded successfully in Shanghai. As a key segment of the conference, the "Symbiosis · Breakthrough" series of roundtable forums, hosted by Shanghai Technology & Innovation Bank, brought together a lineup of top investors and corporate leaders in the smart manufacturing sector. Dr. Ma Jun, Founder and CEO of Sinsegye, was invited to attend and engage in in-depth discussions around the core topic of "Innovation-Driven, Reshaping the Global Industrial Landscape".

This roundtable forum aimed to explore how enterprises can build global competitiveness through underlying innovation, at a critical stage when China's smart manufacturing is transitioning from "following the trend" to "leading with original creations". The discussions covered cutting-edge topics such as core technological innovation, in-depth integration of AI and manufacturing, and global strategic layout.

During the session on "Core Innovation and Global Competitiveness Building", Dr. Ma Jun pointed out that traditional industrial automation architectures face significant bottlenecks: in conventional industrial on-site settings, the "upper computer" (responsible for computing and decision-making) and "terminal controller" (responsible for executing commands) operate separately. This lengthy control chain restricts production line tempo and makes it difficult to further improve precision, thereby becoming a key obstacle to advancing towards high-efficiency smart manufacturing.

To address this common industry challenge, he elaborated on Sinsegye's original solution: "We are committed to reconstructing the underlying architecture of industrial control. By developing industrial intelligent computers (Industrial Smart Computers) with 'integrated computing and control' capabilities, we deeply integrate the computing power of IT with the real-time control capabilities of OT. This is equivalent to building a high-performance platform for industrial on-site operations that features both a 'brain' and a 'neural center', directly connecting the closed loop from intelligent decision-making to precise execution."

Dr. Ma Jun emphasized that this technological path targets the key gaps in upstream basic software and hardware for industrial automation. Relying on independently developed technologies such as the MetaOS Dual-Domain Operating System, Sinsegye has not only significantly simplified the control chain and greatly improved production line efficiency and processing precision, but also achieved "parallel development" with international giants in terms of technological concepts and practical application effects—laying a solid foundation for entering the mid-to-high-end market.

When talking about how AI technology empowers smart manufacturing, Dr. Ma Jun shared that Sinsegye's practices focus on three key areas:

• Empowering motion control: Optimizing the motion trajectories of equipment such as robotic arms through AI algorithms;
• Enhancing human-machine interaction: Exploring ways to lower the technical threshold for traditional industrial programming;
• Facilitating the transformation of process knowledge (Know-How): Providing customers with customized energy-saving and consumption-reducing solutions through intelligent data analysis.

He specifically noted that due to Sinsegye's in-depth understanding of the actual needs of industrial on-site operations, its AI integration solutions are more precise and practical, having already delivered significant economic benefits to a number of customers.

The insightful sharing at this venture capital platform not only demonstrates Sinsegye's innovative strength in the core field of industrial intelligence, but also highlights the company's vision of driving the high-quality development of China's manufacturing industry through breakthroughs in underlying technologies.