Accelerating Robot AI Development: Scaled Foundations Integrates NVIDIA Isaac Sim into GRID

At Scaled Foundations, our mission has always been to empower every roboticist, developer, and organization to enable seamless robot intelligence across every robotic form factor and application. Today, we’re thrilled to announce the integration of NVIDIA Isaac Sim, a reference application for robot simulation built on the NVIDIA Omniverse platform, into GRID, our General Robot Intelligence Development platform.

This integration marks a pivotal step forward for roboticists and AI developers, offering an unprecedented opportunity to fast-track the development and deployment of advanced robotic AI solutions across new robot form factors.

Why This Work Matters

Robotics development has long faced challenges, including scarcity in expertise, custom and rigid architectural stacks, time-intensive iteration, and lack of training data. We designed GRID to eliminate these hurdles by providing a unified cloud-native platform for simulating robots in diverse environments, training and evaluating AI models, and deploying AI-driven solutions. By integrating NVIDIA Isaac Sim into GRID, we’re equipping developers with state-of-the-art tools to develop, simulate and deploy robot AI systems, while eliminating time and effort associated with establishing architecture for robot AI.  

Isaac Sim’s photorealistic simulation environments, advanced physics capabilities, and support for synthetic data generation complement GRID’s capabilities, unlocking exciting benefits for GRID users:

• Cloud-Native Access to Isaac Sim in GRID:  We released Isaac Sim in GRID Enterprise, a powerful and flexible development platform for advanced robotic AI applications, for organizations and academic institutions seeking to run several GRID instances on private cloud infrastructure.  And coming soon, individual developers will be able to run Isaac Sim in our free Open GRID solution, directly from their browser, with zero configuration or setup required.  Simply choose your scene, robot, sensors, and AI models, and you’re off and running—with no installation or hardware dependencies.
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• Python-Based Command and Interaction:  Users can customize simulation scenarios, invoke capabilities and evaluate AI models using simple Python code through GRID.  Robots in Isaac Sim, including manipulators, quadrupeds, and humanoids, can be augmented in GRID with a variety of sensors and powerful AI capabilities with just a few lines of code, enabling rapid prototyping and iteration on
  complex skills for robots.

• ‍Integrated AI Evaluation:  GRID seamlessly integrates AI evaluation pipelines with Isaac Sim, allowing users to test and deploy single or several AI models with ease. Open GRID provides one-click access to an expanding list of best-of-breed open-source models for critical robot functions, while GRID Enterprise additionally allows developers to further integrate their own trained and fine-tuned models.

• Parallelized Data Generation and Policy Training with GRID Enterprise:  For enterprise and academic users, GRID enables rapid parallelization of Isaac Sim to generate large multi-modal synthetic datasets, at scale, and for efficient training of reinforcement learning policies. Teams training AI foundation models for robots can now generate unlimited data specific to form factors, sensor modalities, and use cases.

• Teleoperations:  To quickly translate real-world human action to robot trajectories, we’ve also enabled AR/VR teleoperation capabilities in Isaac Sim via GRID Enterprise. Human operators can perform a task, which is then rendered in simulation as trajectories, augmented easily via scripts to alter object locations, material properties, and other environmental characteristics including articulations.

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• Deployment pipelines:  GRID Enterprise provides deployment pipelines to convert code to your desired deployment protocol.  We natively support industry-leading middleware and messaging protocols such as ROS 2, MAVLINK, and more - and also allow customers to directly integrate their robot’s specific APIs.  From simulation to real-world deployment, the entire robot solution lifecycle is managed in GRID.

What This Means for Developers

The integration of Isaac Sim into GRID will transform how roboticists and developers approach the development of AI-driven robots. robot AI development. With these combined capabilities, you can:

1. Cut Development Time: Quickly iterate on designs and AI models in realistic, scalable simulations, while eliminating time spent setting up and maintaining development architecture.
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2. Enhance AI Training:  Generate synthetic data from Isaac Sim to train and refine your AI models for manipulation, quadruped, and humanoid robots with exceptional efficiency and in-the-loop performance testing and evaluation.
     
3. Streamline Workflows: Use GRID’s user-friendly tools and automation to bridge simulation and real-world deployment effortlessly.
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4. Access Enterprise-Grade Features: Parallelized simulation and comprehensive AI pipelines make GRID with+ Isaac Sim the ideal solution for enterprises and large-scale robotics projects including foundation model training.

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Building the Future of Robotics.

By uniting GRID’s platform capabilities with Isaac Sim’s cutting-edge robot simulation features, we’re creating a robust ecosystem for robotics developers. This integration underscores our commitment to democratizing robotics and empowering innovators to catalyze the industry and push the boundaries of what’s possible.We’re excited about the possibilities this combination unlocks for the robotics community, helping set the stage for a future where developing intelligent robots is faster, more accessible, and more impactful than ever.

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Join Us.

We invite you to sign-up for GRID with Isaac Sim, and explore how our platform can accelerate your robot projects. Whether you’re building industrial inspection or logistics automation solutions, consumer in-home robots, or next-generation humanoids, GRID isand Isaac Sim are here to help you succeed.

Stay tuned for updates as we roll out this integration, and reach out to learn how you can get started.

Let’s build the future of intelligent robotics—faster, smarter, and at scale.