General Robotics develops general-purpose intelligence for robots across diverse real-world scenarios by composing modular AI skills. Their GRID platform provides deploy-ready AI skills for perception, planning, and action, enabling rapid adaptation and deployment across various robot morphologies. This approach focuses on data-efficient, interpretable, and safety-critical systems built from composable deep learning structures.
Funding
Funding not disclosed
Founders
Product
Problem
Developing and deploying intelligent robots requires extensive data collection, training, and testing, which can be time-consuming, expensive, and require specialized expertise. Traditional methods often struggle to bridge the sim-to-real gap, hindering the rapid iteration and deployment of robot AI skills in real-world scenarios.
Solution
General Robotics offers the GRID platform, a comprehensive solution for developing, training, and deploying AI-powered robots. GRID provides access to a library of modular AI skills for perception, planning, and action, enabling robots to sense, reason, and act with precision. The platform facilitates synthetic data collection at scale, high-fidelity simulations, and integrative testing to bridge the sim-to-real gap. GRID is available in two experiences: Open GRID, a web-based platform for rapid prototyping, and GRID Enterprise, a private, scalable, and customizable solution for large organizations.
Target Audience
The primary audience includes robotics developers, AI researchers, and enterprises seeking to accelerate the development and deployment of intelligent robots across various industries.
Features
- Web-based platform (Open GRID) for rapid prototyping of robot AI skills directly from the browser
- Private GRID Enterprise option for scalable, customizable, and deeply integrated AI development
- Access to a library of modular AI skills for perception, planning, and action
- Synthetic data collection on the cloud at scale for various robot form factors and use cases
- High-fidelity simulations for zero-shot deployment and integrative testing
- Tools for reinforcement learning, machine learning, imitation learning, and agentic architectures
- Support for integration with custom robots, use cases, and tech stacks
- Deployment options for aerial, wheeled, manipulation, quadruped, and humanoid robots on cloud, edge, or both