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Skild AI
Artificial Intelligence
Skild AI is a Pittsburgh-based robotics AI company developing a general-purpose "brain" model intended to give many different types of robots broad physical capabilities across diverse tasks and environments.
$15B
+$61.91
822.58%
30 days ago
$7.53
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Skild AI was founded in 2023 by Deepak Pathak and Abhinav Gupta, both Carnegie Mellon University robotics and machine learning researchers, pursuing a research agenda similar in spirit to Physical Intelligence's mission of building general-purpose foundation models for robotics, aiming to develop AI models that can generalize across a very wide range of different physical tasks, environments, and robot hardware platforms, rather than requiring separate, narrowly trained AI models developed independently for each specific robotic task and hardware configuration, an approach the company has referred to as building a "foundation model for robotics" or, more colloquially, a general-purpose "robot brain" that could, in principle, be deployed across many different robot form factors, from robotic arms used in manufacturing to legged and humanoid robots for mobility-dependent tasks. The company's research draws on the broader machine learning insight that training AI models on very large and diverse datasets, spanning many different tasks and environments, tends to produce models with much better generalization capability than models trained on narrower, more specific datasets, an insight that has driven much of the progress in large language models and that Skild AI and similar robotics AI companies are working to apply to physical robotic manipulation and locomotion, where collecting sufficiently large and diverse real-world robotic interaction data remains a significant practical challenge relative to the comparatively abundant text data available for training large language models. Skild AI has positioned its work as addressing a persistent bottleneck in practical robotics deployment, where AI models trained for one specific robot and task typically generalize quite poorly to different robots or tasks, requiring substantial additional data collection and retraining effort for each new robotic application, a limitation that has significantly slowed the broader pace of practical robotics deployment relative to more rapid recent progress in language and vision-based AI. The company has raised very substantial venture funding from investors including SoftBank Vision Fund, Coatue, and Lightspeed Venture Partners, reaching a valuation exceeding $4.5 billion, reflecting strong investor interest in foundational robotics AI research.
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