SKAI Intelligence: “Building Physical AI Infrastructure to Lead Global Market Leadership”

SKAI Intelligence, a digital twin and synthetic data solutions company, announced on the 21st that it was officially invited by NVIDIA to speak at a special session during InfoComm China 2026, recently held in Beijing, China. At the event, the company presented its physical AI data pipeline architecture and use cases of digital twin-based synthetic data generation technologies.

SKAI Intelligence is an affiliate of SKAI Worldwide (357880), an AI agent and database solutions company.

The company was officially invited as a key partner recognized for implementing industrial-grade digital twin solutions based on NVIDIA Omniverse. Omniverse is NVIDIA’s next-generation digital twin platform and is considered a core infrastructure for enabling physical AI, including robotics and autonomous systems.

InfoComm China, organized by InfoComm Asia, is the largest AV and digital media industry exhibition and conference in the Asia-Pacific region. The event featured over 400 global companies and attracted more than 24,000 professional visitors from over 45 countries. This year, in particular, key discussions focused on the convergence of AI with AV and IT technologies and the development of smart infrastructure, in line with China’s 15th Five-Year Plan (2026–2030).

During the event, NVIDIA hosted a special session under the theme “Real-Time AI: The New Foundation of Modern Media,” where industry leaders discussed the future direction of AI and simulation technologies in real-world applications.

Morgan Mao, Global CEO of SKAI Intelligence, delivered a presentation titled “SKAI Digital Twin: A Core Hub Connecting the Physical World and AI Applications.” In his presentation, he unveiled the company’s Omniverse-based digital twin pipeline and its data generation architecture.

He highlighted that SKAI Intelligence has built a synthetic data production infrastructure by converting real-world products and environments into high-fidelity digital assets and operating them within physics-based simulation environments suitable for AI training.

While accurately replicating reality in a virtual environment represents a “Real-to-Sim” approach, synthetic data enables a “Sim-to-Real” process that brings virtual outcomes back into the real world. The integration of these two approaches allows robots and autonomous systems to effectively transfer learned outcomes from virtual environments into real-world applications with high precision.

This integrated structure significantly reduces the cost and time required for training physical AI, while improving accuracy and scalability in real-world deployment. As a result, it is gaining attention as a critical data infrastructure in industrial robotics and automation sectors.

Lee Jae-cheol, CEO of SKAI Intelligence, stated, “SKAI Intelligence has built a data pipeline that connects the physical world and AI through high-fidelity simulation environments based on NVIDIA Omniverse. Having completed global technology validation, we will accelerate commercialization and market expansion to further strengthen our position as a leading synthetic data infrastructure company.”