NdotLight to Co-Develop DexBench,
a Global Standard for Humanoid Evaluation,
With NVIDIA and RLWRLD
August 7, 2026

Builds the core SimReady environment for DexBench, the global humanoid dexterity benchmark co-developed with NVIDIA
Uses proprietary CAD engine TRINIX to auto-generate high-precision SimReady assets for robot training and evaluation
Partners with RLWRLD to build next-generation evaluation infrastructure for the global Physical AI ecosystem
SEOUL, South Korea -- NdotLight (CEO: Jay Park), a SimReady (Simulation-Ready) data generation solution provider for Physical AI, is joining RLWRLD in the DexBench project, a global benchmark for evaluating humanoid dexterity being co-developed with NVIDIA. NdotLight will lead the SimReady data generation to construct the simulation environment at the core of the project, building the next generation of humanoid evaluation standards together with RLWRLD.
DexBench is a next-generation, open-source benchmark for humanoid manipulation, built on NVIDIA Isaac Lab-Arena. It is designed to quantitatively measure how well robots grasp objects, assemble parts and use tools with human-like dexterity across a range of industrial settings, and high-fidelity SimReady data reflects real-world conditions is central to how well the benchmark performs and how much it can be trusted.
For this project, NdotLight will apply TRINIX, its SimReady generation solution, to build the high-precision SimReady assets DexBench requires. TRINIX automatically generates joint structures, kinematics, collision geometry and physical properties directly from CAD data, producing simulation environments that closely match real robots.
The resulting SimReady assets will feed into training and evaluation for RLDX-1, the robotics foundation model (RFM) developed by RLWRLD. The two companies plan to continuously test and narrow the sim-to-real gap, the difference between simulated and real-world robot behavior, as they work toward a more reliable, global standard for humanoid evaluation.
Korean robotics and simulation companies including Physics Sim Lab and Space AI are also contributing their expertise to the project. Among the participants, NdotLight serves as the core technology partner responsible for SimReady data generation and simulation environment construction.
"In the era of Physical AI, robot performance is determined not just by the AI model, but by the quality of the SimReady data used to train and evaluate it," said Jay Park, CEO of NdotLight. "It means a great deal that NdotLight's SimReady technology will serve as a core data technology in this global humanoid evaluation environment, through the DexBench project we are co-developing with NVIDIA. We will keep working with NVIDIA and our other global partners to build the standard data ecosystem for the Physical AI era."
About N.Light
NdotLight is a Korea-based 3D data solution company founded in 2020. Its AI-native software Trinix, built on a proprietary CAD engine, automates simulation-ready 3D data generation for physical AI and digital twins. Investors include Samsung Electronics, IMM Investment, Korea Development Bank, CJ Investment, Naver D2SF, and Capstone Partners.
For more information, visit www.ndotlight.com.
