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Evolution Beyond Physics

Drive seamless transition between the virtual and physical worlds with high-performance, high-precision simulation, and accelerate the development cycles of design, virtual commissioning, and optimization in various industries.

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Application

Robotics Simulation & AI Training

Robotics Simulation & AI Training

Synthetic Data Generation & Annotation

Synthetic Data Generation & Annotation

Industrial Digital Twin

Industrial Digital Twin

Industrial Automation Solutions

Industrial Automation Solutions

Games & XR

Games & XR

Real-Time Visual Effects

Real-Time Visual Effects

Embodied Intelligence

Simulation Platform

Simulation Platform

MotrixSim provides extremely accurate simulation through Motphys's proprietary physics engine: supporting generalized coordinates and multi-body physics modeling, using implicit solvers to achieve more precise drive models and superior dynamic stability. Our toolchain covers the complete process from training, validation to deployment, providing comprehensive solutions to significantly accelerate development cycles. Additionally, MotrixSim supports the generation of high-quality synthetic data, reducing annotation costs and covering rare scenarios. To accelerate training efficiency, we've also launched a GPU version that supports parallel training across multiple worlds.

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Machine Learning Framework

Machine Learning Framework

Morphos Labs is a machine learning framework built on MotrixSim, integrating various machine learning libraries and algorithms to support a wide range of machine learning tasks. The framework incorporates specially customized pipelines, such as reinforcement learning pipelines for robot locomotion training, and custom pipelines for data synthesis. These highly optimized workflows enable developers to conduct experiments and product development more efficiently.

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Industrial Simulation

High-Precision Real-Time Industrial Simulation

High-Precision Real-Time Industrial Simulation

Our high-fidelity physical simulation is designed for real-time engineering applications, ensuring precise reproduction of industrial equipment and processes. It supports multi-body physics modeling based on generalized coordinates and friction contact simulation, suitable for mechanical systems with complex contact and friction characteristics. Additionally, it supports simulation of physical phenomena such as wind forces, buoyancy, tracks, cables, soft bodies, and fracture. It can accurately reproduce various physical phenomena in virtual environments, providing strong support for industrial automation control systems and essential tools for building comprehensive industrial digital twin models.

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Games and Creativity

Rigidbody Physics

Rigidbody Physics

Provides high-performance rigidbody simulation with precise collision detection and response, supporting efficient interaction among diverse geometric shapes. The rigidbody dynamics accurately model object behavior under external forces, including gravity, friction, and inertia. A comprehensive set of joints and constraints is available to enable the construction of complex mechanical systems and their physical connections. In addition, scene query capabilities — such as ray casting and overlap detection — offer robust and efficient support for logic processing and physical interactions.

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GPU Particle System

GPU Particle System

Leveraging the parallel computing advantages of GPUs, we can rapidly simulate the dynamic behavior and interaction of large-scale particles, thereby reproducing various complex physical phenomena in the real world. The unified solving framework can handle multiple physical materials including cloth, hair, soft bodies, and fluids, and supports interaction effects between these different materials. Shader translation and RHI cross-platform design allow for compilation and deployment on various GPU platforms, including GPUs of various mobile devices.

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Compatibility

Compatibility

The engine product is adapted to various mainstream host environments, including Unity, Unreal, Web, and Python, etc., and we also provide C API for compatibility with any host environment. Our products have good compatibility with multiple operating systems, including Windows, Linux, macOS, Android, iOS, and HarmonyOS, etc. It also supports various devices, including but not limited to PCs, workstations, servers and mobile devices, as well as various CPUs (such as Arm and x64) and various GPUs that support Vulkan.

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Toolchain and Optimization

Toolchain and Optimization

We provide a complete set of toolchains designed to help developers create content more efficiently. This toolchain includes visualization and editing tools, debugging tools, and performance analysis tools. In addition, our engine uses the Rust language, which excels in multi-threading and security; after deep algorithm and engineering optimization, it can achieve high-precision, large-scale real-time simulation in a disruptive manner.

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Cloud Computing

Distributed Physics

Distributed Physics

Distributed computing for real-time motion physics simulation has successfully solved the computational bottleneck problem encountered in large-scale physics simulation on a single machine. With this technology, we can build large-scale cloud-based physical simulation environments to provide powerful support for large-scale parallel AI model training; on the other hand, as a vast virtual world, the metaverse will have a large number of participants, forming a scenario of large-scale user real-time interaction, requiring ultra-large-scale physical simulation, which is now possible.

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Cross-Platform Determinism

Cross-Platform Determinism

We set cross-platform determinism as a core design goal of the engine at the design stage, and considered and verified it in every line of code. This enables us to be the first in the industry to achieve complete consistency of floating-point calculation results in cross-terminal and cross-platform motion physics simulation. Therefore, users can obtain consistent simulation results on multiple devices or platforms. Moreover, this also makes it possible to dynamically allocate distributed computing power on heterogeneous devices.

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