Industry Solution Service Provider for Embodied AI

Expediting the deployment of Embodied AI via Physical Simulation and Synthetic Data

Industry Solution Service Provider for Embodied AI

Expediting the deployment of Embodied AI via Physical Simulation and Synthetic Data

Through Physical Simulation and Generative AI, we help our customers quickly build digital scenes and synthetic data for AI model training and enterprise-level simulation services.

Products and Solutions

AI Defect Detection

Effectively generate synthetic data for various material surface scratches, damages, and other defects, 100 times accelerating data collection and model training iteration.

Smart Forklift Employing Physical Simulation and Synthetic Data

Enhanced with autonomous driving technology,10 times accelerating deployment efficiency of existing storage and transportation

AI-Empowered Flexible Grasping

Accurately physical simulation greatly speeding up algorithm iteration and real deployment.

Educational RoboCup Soccer Competition

Synthetic data is used to supplement perception training data, enhancing effectiveness of perception models.

Service Delivery Type

Synthetic Data

Provide physically-accurate synthetic data, e.g. realistic image data, depth data and corresponding annotation, effectively solve lack of data for AI models training in specific scenarios.

Simulation Platform Service

Provide physically accurate embodied AI simulation platform. Support for customer robot model import, sensor modeling and simulation, trajectory and control simulation.

Customerized Services

Provide support for deep learning and reinforcement learning model training, Sim2Real (simulation to real-world) transfer, assisting customers in deploying perception and control models from simulation to real-world.

Application Industry

Intelligent Manufacturing / 3C Electronics

Factory Logistics

Retail

Tunnels and other underground spaces

About Us

Founder

Dr. Luo Xi, obtained her master’s degree from Vanderbilt University, USA, under Professor Kawamura Kazuhiko, founding Chairman of the IEEE Human Robotics Technology Committee and her doctorate from University of Nottingham. She has more than 15 years’ experience in humanoid robot algorithm and simulation technology, from research to industry.

Team

Our expert team members come from areas of robotics, autonomous driving algorithm, simulation technology, industrial design, high performance heterogeneous computing etc.

Specialization

Robotics simulation, development of data-driven AI models, optimization of deep learning chip-level models, procedural content generation and physical simulation.

Success Stories

Our team has delivered over 2 million synthetic data frames for embodied AI/autonomous driving, accumulating an amount of successful application cases.

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Our Partner

Raygen.ai