March 25, 2026
EgoVerse: An Open-Source Recipe for Human-to-Robot Transfer
EgoVerse introduces a scalable approach to training Physical AI by combining high-fidelity human demonstrations with robot data in a shared learning framework. Built with leading academic and industry labs, it releases both a large egocentric dataset and an open-source pipeline, showing that co-training across human and robot data improves performance, generalization, and transfer across different robot systems.
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March 16, 2026
Scale AI + Universal Robots: Enabling Physical AI for Real-World Deployment
Scale AI and Universal Robots (UR) announce a partnership at NVIDIA GTC to integrate the Physical AI Data Engine into UR industrial robots, enabling scalable, real-world AI deployment.
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September 24, 2025
Expanding Our Data Engine for Physical AI
Scale’s Data Engine for Physical AI is a comprehensive data collection and annotation solution that provides the massive, high-quality datasets robotics companies need to train foundation models.
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