SPEAR-1 is the first European-made open-weight robotic AI foundation model of its kind. SPEAR-1 outperforms existing state-of-the-art models while using 20x less robotic data, a breakthrough due to the fact that robotic data is hard, slow and expensive to collect. The key innovation behind SPEAR-1 is a new AI model training approach which enables learning from both robotic data as well as non-robotic 3D data that is much more abundant and easier to obtain. This ability to understand and locate objects in 3D space massively boosts SPEAR-1's robot manipulation capabilities. SPEAR-1 is a major advance in solving the data bottleneck in robotics and a key step to enabling real-world adoption of AI-enabled robots.