Skild crosses $100M ARR within ten months
The company cites deployment-first strategy as key to scaling across diverse robotics applications. Key partners include NVIDIA and Foxconn.
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General-purpose robot intelligence platform
skild.aiLast updated
In short: Skild raised $1.4B, hit $100M ARR, and launched its S1 robot brain within ten months.
The company cites deployment-first strategy as key to scaling across diverse robotics applications. Key partners include NVIDIA and Foxconn.
The model uses in-context learning to execute long-horizon tasks without fine-tuning, outperforming conventional vision-language-action models before rolling out to wider customers.
The system performs complex manipulation tasks from a single video prompt without post-training, showing efficient data scaling and scene robustness.
The acquisition deploys omni-bodied intelligence to warehouses, enhancing productivity and accelerating the data flywheel. It integrates Skild Brain with Zebra's Symmetry platform.
Skild AI partners with Koreas giants to drive factory and logistics automation Single robot brain from Skild AI targets Korean factories and logistics with partners...
Skild AI reports $100M in run-rate revenue ten months after launch. Its S1 model learns tasks it was never trained on, which Europe regulates from...
Beating AI News Flash, general-purpose robot brain company Skild AI has released its next-generation robot foundation model S1. Its biggest change is that teaching robots to do new tasks no longer requires re-tuning the model; just show it a human demonstration video, and it can learn directly from it. The official demonstration included tasks lasting over 10 minutes, such as flipping pancakes, brewing coffee by hand, and repotting plants—tasks it had not been trained on before. S1 treats the demonstration video directly as a prompt, then outputs robot actions. In the repotting experiment, from the start of recording the human demonstration to when the robot begins executing...
Skild AI has released its latest robotic foundation model, S1, which features in-context learning (ICL), allowing robots to quickly learn new tasks by watching operational demonstrations. In contrast to traditional robots that require collecting large amounts of data and then training for specific tasks, S1 ...
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