One Model to Control Them All

The robotics industry has a fragmentation problem. Every robot needs custom software, custom training data, and custom integration work. Skild AI's "Skild Brain" changes that equation entirely. It's a general-purpose robotics foundation model that can be dropped into any physical form factor and start working.

Founded by former Carnegie Mellon professors Deepak Pathak and Abhinav Gupta, Skild has built something the industry has dreamed about for decades: a unified AI system that understands physical movement, spatial reasoning, and real-world interaction regardless of the robot it's controlling. Quadrupeds, humanoids, tabletop arms, mobile manipulators — the Skild Brain handles them all.

The $14 Billion Bet

The $1.4 billion Series C, led by SoftBank with participation from NVIDIA, Macquarie Group, and others, values Skild at over $14 billion — tripling its valuation in just seven months. That kind of velocity is almost unheard of, even in AI. It signals that major investors see Skild not as a promising research project, but as a platform that could become the operating system for the entire robotics industry.

Why This Is Huge

If Skild succeeds, the implications are staggering. Robotics companies would no longer need to build AI from scratch — they'd license Skild Brain and focus on hardware. Manufacturing, logistics, healthcare, agriculture — any industry that uses robots would benefit from a single, continuously improving AI backbone.