Ndotlight announced on the 16th that it has been selected as a presenter for the 'NVIDIA Inception Demo Pitch' at NVIDIA GTC 2026, which will be held in San Jose, California, USA from March 16 to 19.
NVIDIA Inception Demo Pitch is a program that selects startups that have developed innovative services based on NVIDIA's technology and introduces their technology and business models to global investors, companies, and partners. Ndotlight plans to present its core technology, 'TRINIX,' through a live pitch lasting approximately five minutes at the event.
Trinix is a solution that generates 'Simulation-Ready' 3D data usable in the fields of robotics and physical AI. Previously, there was a problem where 3D assets required for robot training had to be created manually, resulting in high time and cost.
Ndotlight solved this problem by combining its proprietary 3D CAD engine with generative AI models. When a user inputs text or images, it automatically generates 3D data containing physical properties and joint information, and supports converting existing CAD files into the OpenUSD format suitable for simulation environments.
This solution was developed utilizing NVIDIA's technology stack. NVIDIA Omniverse is used for data generation and collaboration environments, while NVIDIA Isaac Sim is applied to robot simulation and training processes. Additionally, NVIDIA Cosmos is used to generate large-scale simulation data, supporting the construction of Vision-Language-Action (VLA) based datasets.
According to Ndotlight, this technology has reduced data generation time by more than 70% compared to existing methods, and has also significantly improved the success rate of robot learning through a GPU-based large-scale data generation environment. The company was recently selected as a supplier for the 'National Physics AI Foundation Model Consortium' promoted by the government.
Ndotlight is a team composed of personnel from global technology companies such as Samsung Electronics, Naver, and AMD, and plans to expand its penetration of the global physical AI market through its participation in GTC.
Park Jin-young, CEO of Ndotlight, stated, “It is very meaningful to be able to introduce our technology at a global AI event,” adding, “Through Trinix, we will support the digital transformation of the manufacturing industry and contribute to solving the problem of 3D data shortages faced by robotics companies.”
With the recent increase in demand for simulation data for learning robots and autonomous systems, competition to develop platforms combining 3D generative AI and physical AI technologies is expanding, centered on global technology companies and startups.
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