We’ve launched GRID where any developer and roboticist – novice or power user, as well as teams within startups, robot OEMs, enterprises, academia, and government - comes by default to accelerate the development of robot AI solutions. We recognize that larger, more sophisticated organizations require deeper controls and customization to bring high-value robot AI solutions to market at a production scale.
That’s why we’ve built GRID Enterprise where you can harness the power of GRID with more control at scale.
Deeper Integration
Run GRID in your own cloud or local compute clusters. GRID enterprise allows complete integration into your robotic development, deployment, model training, testing, and data generation pipelines via a rich set of APIs.
Parallelize data generation at scale
Access to quality training data is the most critical constraint in training performant models for robotics, or even fine-tuning existing open-source models. GRID Enterprise allows organizations to parallelize data generation at scale, to generate multi-modal, scenario-specific, diverse, and comprehensive data sets to directly mitigate this constraint. Our synthetic data pipelines are built on seminal ML research, previously conducted by our team.
Advanced capabilities
GRID Enterprise can be used for advanced robot capabilities such as teleoperation, multi-agent/multi-category simulation and orchestration, and LLM customization.
.png)
Support 1st party and 3rd party simulators
AirGen is our state-of-the-art simulator for Aerial and Wheeled robots. We also support the best 3rd party simulators for ambulatory and manipulation robots.
Deeper customization across robots and environments
Import new single and multi-modal robots, integrate with 3rd party physics engines, enable custom sensor models, and connect to specific APIs to ensure deployability.
Who is it for?
Our powerful, free-to-use, and cloud-native GRID solution is the fastest way individual developers can start generating commercially deployable code by invoking AI models, generating synthetic data, and running diverse simulations, across a growing list of curated scenes, robots, sensors, and models. GRID enterprise is for teams that require greater control and deeper integration into their existing development infrastructure.