GRID comes in two flavors: Open GRID and GRID Enterprise. Both are both powerful tools for building, simulating, and deploying robotic applications. However, depending on your needs, each platform offers different levels of flexibility and scalability. This page will help you understand the key differences between the two offerings and guide you in selecting the most suitable platform for your use case.
Both platforms allow you to accomplish the same core tasks, but they differ in customization, scalability, and integration capabilities.

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Key Features

Both Open GRID and GRID Enterprise provide a broad range of features:
  • Robot Simulation: Simulate aerial, ground, manipulator, or locomotion robots on either variant, with added customization options in GRID Enterprise.
  • Camera and Sensor Support: Access data from cameras and other sensors such as GPS, IMU, and LiDAR.
  • AI Model Integration: Use pre-trained AI models for computer vision, vision-language, SLAM, point tracking, and more.
  • Data Collection and Analysis: Collect and analyze data from simulations for training and testing AI models.
  • Real-time Visualization: Visualize simulations and model outputs in real-time to monitor robot behavior and performance.
  • Domain Randomization: Change simulation settings for data collection or model testing across various scenarios.

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GRID Enterprise Enhancements

GRID Enterprise builds on these features with additional capabilities:
  • Customized Simulation: Customize simulation settings such as sensor placement, environment, and robot behavior through full control of the simulation setup.
  • Bring your own Robots: Import custom environments and assets to create unique simulation scenarios.
  • Bring your own Environments: Import custom environments and assets to create unique simulation scenarios.
  • Data Collection and Augmentation: Utilize tele-operation and data augmentation pipelines for large scale data generation for use cases such as robot manipulation.
  • Custom AI Models: Integrate your custom AI models and algorithms for specific use cases, or fine-tune models with custom data.
  • Multi-agent Systems: Support for heterogeneous and homogeneous multi-agent simulations.
  • External Physics Engines: Integration with external physics engines for more complex simulations.
  • Remote API Access: API access enables remote control, along with parallel session support at scale.
  • Data and Session Parallelization: Generate data and run simulations in parallel—ideal for large-scale applications.
  • Integrate with your workflow: Seamlessly integrate with your existing development pipelines and tools.

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Advanced Customization and Flexibility

GRID Enterprise is tailored for organizations with advanced needs:
  • Custom Robots: Build custom robots with specific form factors to fit your project’s requirements.
  • Custom Environments: Create and use custom simulation environments tailored to your unique scenarios.
  • Parallel Simulations: Scale simulations by running multiple sessions in parallel, ideal for complex and large projects.
  • Self-hosting: Host the GRID platform on your infrastructure for complete control over your simulations and data.
  • ML Integration: Seamlessly integrate with machine learning pipelines for model training and fine-tuning.

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Choosing the Right Platform

  • Open GRID: Best suited for individual developers and small teams who are looking for accessible robot intelligence platform to buil intelligent robots quickly from their browser.
  • GRID Enterprise: Recommended for organizations requiring advanced customization, parallel processing capabilities, and deeper integration with custom dev pipelines.

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Next Steps

To get started:
  • Explore Open GRID if you are looking for browser-based robot intelligence.
  • Book a demo for GRID Enterprise if you are interested in self-hosting, scaling simulations, and deeper integrations with custom modules.