Scaled Foundations
State-of-the-art robot learning technologies for engineering and continuous improvement.
January 3rd, 2026
About Scaled Foundations
Scaled Foundations provides state-of-the-art robot learning technologies that accelerate engineering and enable continuous improvement. Their robot foundation models are trained with real-world data assets, high fidelity simulation, and generative AI, providing a powerful platform to build robust robot systems. The foundation models capture the structure of the physical world and are designed to solve a wide range of AI-centric robotic tasks, including perception, state estimation, mapping, planning, and control. Scaled Foundations aims to make robots more productive, efficient, and safer through machine learning, AI, and simulation.
Key Features
- State-of-the-art robot learning technologies.
- High fidelity simulation.
- Generative AI.
- Robust robot foundation models.
- Perception
- state estimation
- mapping
- planning
- and control capabilities.
Use Cases
- Engineering robotics systems.
- Continuous improvement of robot performance.
- Enhancing robot productivity and efficiency.
- Increasing robot safety.
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