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Skild AI Launches AI Model for Multi-Purpose Robots

CIO Insider Team | Wednesday, 30 July, 2025
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Robotics startup Skild AI, supported by Amazon and Japan's SoftBank Group launched a core artificial intelligence model intended to operate on almost any robot—ranging from assembly-line devices to humanoid figures.

The system, known as Skild Brain, allows robots to reason, move, and react in a manner resembling humans. Its debut arrives during a wider effort to create humanoid robots that can perform a greater variety of tasks than the specialized machines typically seen on production lines.

In demonstration videos, robots powered by Skild were depicted ascending stairs, retaining balance after being pushed and retrieving items in disorganized settings - activities that necessitate spatial reasoning and the capability to adjust to varying environments.

The firm stated that its design features integrated power restrictions to stop robots from exerting hazardous force.

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Skild educates its model with simulated scenarios and human-action footage, afterward refining it with data from each robot operating the system. Co-founders Deepak Pathak and Abhinav Gupta stated to Reuters in a unique interview that their method addresses a data shortage issue specific to robotics.

Skild's customers consist of LG CNS - the technology solutions division of LG Group - along with other undisclosed partners in logistics and various industrial applications.

"In contrast to language or vision, robotics lacks data available online. You can't simply go ahead and implement these generative AI methods," states Pathak, who is the CEO.

Robots used by clients send information back to Skild Brain to enhance its abilities, forming the same "shared brain," according to Gupta, who formerly established Meta Platforms' robotics lab in Pittsburgh.

Skild's customers consist of LG CNS - the technology solutions division of LG Group - along with other undisclosed partners in logistics and various industrial applications.

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In contrast to software, which can expand rapidly, robotics involves physical implementation that is time-consuming; however, Skild's method enables robots to swiftly integrate new functionalities across various sectors, stated Raviraj Jain, partner at the startup’s investor Lightspeed Venture Partners.



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