In the rapidly evolving world of Industry 4.0, digital twin technology has emerged as a transformative force—creating real-time, virtual replicas of physical environments to enable smarter, faster, and more adaptive operations. But while digital twins have become a buzzword, truly intelligent, AI-powered twins that can simulate, learn, and control physical systems in both directions—real-to-sim and sim-to-real—are still rare. That’s where MetAI stands out.

Imagine running, cycling, or swimming while real-time GPS navigation, immersive video, and music appear seamlessly before your eyes—super lightweight, super bright, and with extended battery life. That’s the future that Lipro Vision, a Taiwanese startup, is building with its innovative Mobile Smart Windows (MSW) platform. Designed specifically for near-eye wearable devices, Lipro Vision’s solution enhances sports performance and outdoor activity with effortless connectivity a

For over a century, surgical pathology has relied on a rigid, manual workflow: rapidly freezing tissue, slicing it into thin sections, mounting it on glass slides, staining it with dyes, and examining it under a microscope. While effective, this process is slow, labor-intensive, and often destructive—consuming valuable clinical specimens in the process.

In today’s competitive manufacturing landscape, integrating industrial robots has become essential. Yet, the process often remains cumbersome, requiring specialized programming, complex setup, and slow iteration. Holon Robotics, a young med-tech startup based in Hsinchu, Taiwan, is completely changing this story. They’ve built HolonOS, an intelligent platform that unifies robots, sensors, and AI—enabling zero-programming automation through intuitive, app-like deployment and a

Fibrosis is the hidden driver behind a range of chronic, life-threatening conditions — and a frontier in urgent need of innovation. In diseases like pulmonary fibrosis, liver cirrhosis, kidney disease, and heart failure, fibrosis is what transforms treatable inflammation into irreversible damage. It is a process where the body’s healing mechanisms spiral out of control, laying down excess scar tissue that hardens and suffocates otherwise healthy organs.

We’ve reached a defining moment in the arc of artificial intelligence. AI is no longer a futuristic concept or a niche capability.

In an era where global food systems are under increasing pressure—from climate volatility to changing consumer demands—efficiency, transparency, and resilience in sourcing have never been more important. Amid this evolving landscape, one platform is quietly transforming how food businesses connect across borders: iFoodMap, Taiwan’s premier B2B digital procurement platform for food products and ingredients.

In the global fight against infectious diseases, few threats loom larger than antimicrobial resistance (AMR). Once-reliable antibiotics are losing their effectiveness, and healthcare systems around the world are struggling to keep pace. The challenge isn’t just about developing new drugs—it’s also about knowing, with speed and certainty, which treatments will work for each patient. In this space, diagnostic speed can mean the difference between life and death.

The future of global connectivity depends on more than just faster wireless speeds — it requires smarter, greener, and more cost-efficient network infrastructure. That’s exactly where Taiwan’s Ranictek is making waves.

The next wave of artificial intelligence isn’t confined to massive server farms or locked behind complicated cloud platforms. It’s happening at the edge — directly inside factories, hospitals, financial institutions, and even on portable devices. Thanks to a breakthrough from Taiwanese startup Avalanche Computing, this future is no longer theoretical — it’s here.

From prescription mishaps to surgical mistakes and billing inconsistencies, medical errors pose a serious threat to patient well-being and healthcare efficiency. AESOP Technology, spun out of Taipei Medical University and now headquartered in San Francisco, is tackling these challenges using AI-driven clinical decision support systems (CDSS) that enhance diagnostic accuracy, flag medication errors, prevent wrong-site surgeries, and even optimize billing.