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Industry Analysis
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2026 ZGC Forum Annual Conference

Hypernology presented its Industrial AI Vision and safety monitoring technology at the 2026 Zhongguancun Forum in Beijing, showcasing defect detection, robotic automation, and workplace safety solutions to an audience of more than 1,000 participants from over 100 countries.

2026 ZGC Forum Annual Conference

Korean industrial AI company presents inspection and automation technology at Beijing's Zhongguancun Forum

BEIJING, March 2026 -- More than 1,000 participants from over 100 countries gathered in Beijing from March 25 to 29 for the 2026 Zhongguancun Forum Annual Conference. The forum, now in its second decade, draws government officials, researchers, and industrial companies looking for cross-border technology partnerships. This year's theme was "Full Integration Between Technological and Industrial Innovation" -- how frontier technologies can move from research into factory-floor use.

Hypernology, a South Korean company founded in 2022, was among the participants. The company combines AI software with robotics and industrial equipment to solve manufacturing problems on production lines. It calls itself a "Physical AI" solution partner -- a label that makes more sense when you see the product list: vision-based defect detection, robotic automation, and workplace safety monitoring. The forum appearance comes as manufacturers across Asia are looking less for AI demos and more for systems that actually run in production.

Hypernology's presentation materials describe the company's focus as Industrial AI Vision and Autonomous Manufacturing Intelligence. Its technical capabilities include VLM-based zero-shot inspection, robotics vision, hyperspectral inspection, and AI safety monitoring. The company reports a defect detection rate of up to 99% for non-standard defects like scratches and foreign matter, with processing times between 500 and 1,000 milliseconds per inspection cycle.

Two products anchor the lineup: HyperQ AI Vision for manufacturing quality inspection and HyperQ AI Safety for workplace safety monitoring. Application areas include automotive, electronics, semiconductor components, packaging, and infrastructure safety.

At the forum, Hypernology shared case references spanning several industries. One involved defect detection for precision valves used in semiconductor-related production. Another covered large-panel display glass inspection. A cosmetics packaging application handled barcode and expiration-date verification, while an automotive-part project dealt with more than 8,000 laser-marking types. The company also showed safety-monitoring setups that run on existing CCTV infrastructure to flag hazardous behavior and workplace risks.

The forum itself offered more than 100 sessions, over 20 matchmaking activities, and more than 500 technology projects in roadshows. For companies like Hypernology, that mix of policy attention, buyer access, and research networking is what makes the trip to Beijing worth it.

On the expansion side, Hypernology disclosed that it established a Singapore joint venture, Hypernology APAC Pte. Ltd., in early 2026. Its forum application also listed specific goals for China: joint R&D with Chinese research institutions, meetings with strategic investors, and proof-of-concept projects tied to smart factory and safety demand in the Beijing-Tianjin-Hebei corridor.

The broader argument Hypernology and similar companies brought to this year's forum: the next round of AI adoption in manufacturing will be won by whoever can run reliably on a live production line, not whoever gives the best conference demo.

If your factory is still running manual inspection or paper-based safety monitoring, talk to us about your project.

Written by

Hypernology Team

April 1, 2026

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