SKAI Intelligence Demonstrates Digital Twin Capabilities at GTC 2026
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SKAI Intelligence, a digital twin and synthetic data solutions company affiliated with SKAI Worldwide, is accelerating its push into the physical AI market by leveraging the NVIDIA ecosystem.
The company announced on March 30 that it participated in GTC 2026, hosted by NVIDIA, where it unveiled a digital twin–based 3D content production infrastructure along with real-world deployment cases in collaboration with global luxury group LVMH.
During the presentation, Global CEO Morgan Mao introduced a proprietary production infrastructure that integrates an in-house asset library, advanced lighting and animation technologies, and digital twin implementation capabilities built on NVIDIA Omniverse. He also highlighted the platform’s potential to expand beyond content creation into a full-scale industrial data infrastructure.
NVIDIA Omniverse, a platform designed to support digital twin-based simulation, is widely regarded as a core infrastructure for enabling physical AI applications such as robotics and autonomous systems. SKAI Intelligence stated that it has secured the capability to generate and supply synthetic data suitable for training physical AI models based on its high-fidelity digital twin technology.
Digital twin technology enables a “Sim-to-Real” framework, allowing physical AI systems to be trained in virtual environments before deployment in real-world scenarios. This approach is gaining attention as a key enabler for reducing training costs and time while improving accuracy and scalability in real-world applications.
Through its participation in GTC, SKAI Intelligence officially signaled its expansion beyond content production into a synthetic data-driven data infrastructure business. During the event, the company engaged in multiple discussions with global enterprises regarding proof-of-concept (POC) projects and memorandums of understanding (MOUs), while also accelerating plans to enter the North American market, including the establishment of a U.S. subsidiary.
In particular, the company is currently conducting multiple POCs with global industrial robotics companies to validate the applicability of high-fidelity synthetic data for training physical AI systems. It has also secured contracts for synthetic data supply. According to the company, these developments demonstrate its capability to reliably produce and deliver synthetic data at a level suitable for real-world industrial applications.
Jaechul Lee, CEO of SKAI Intelligence, stated, “Digital twins and synthetic data are critical infrastructure for enabling the era of physical AI. Through GTC, we have validated our technological competitiveness in the global market, and we plan to further accelerate our expansion, particularly in North America.” He added, “As the need for deployable industrial data infrastructure becomes increasingly urgent, we aim to establish ourselves as a globally competitive player.”
Meanwhile, SKAI Intelligence plans to officially unveil its synthetic data technologies at COMPUTEX in Taiwan this June, where it will also conduct joint presentations with global partners. The company is set to further expand its synthetic data business for robotics training within the first half of the year, while continuing to strengthen synergies with its affiliate, SKAI Worldwide.