Skild AI announced the closing of a growth financing round in Pittsburgh on November 11, 2026. It raised $500 million in Series B venture capital funding. The round was co-led by Sequoia Capital and SoftBank Vision Fund 2, with participation from Lightspeed Venture Partners, Coatue, and the Amazon Industrial Innovation Fund.
Technical white papers published from the company's Pittsburgh headquarters detailed the underlying engineering architecture. Unlike conventional robotics algorithms hard-coded for specific bipedal or quadrupedal kinematics, Skild AI develops a generalized foundation model called the Skild Brain. Trained across millions of hours of real-world multi-modal physical interaction telemetry, the neural network adapts dynamically across diverse physical embodiments. The model controls bipedal humanoid frames, mobile wheeled bases, and industrial manipulator arms without hardware retraining.
According to reporting from Bloomberg and Reuters, Skild AI Co-Founder and Chief Executive Officer Deepak Pathak addressed technology investors during a financing webcast. Pathak said artificial general intelligence cannot achieve full potential without embodied physical reality, and pure digital models cannot replicate real-world physical manipulation. Pathak said the $500 million investment clears compute infrastructure constraints as the company trains its next-generation foundation model. Skild AI is partnering with international original equipment manufacturers to transition autonomous physical intelligence from university laboratories into modern industrial assembly plants.
Financial disclosures revealed that Skild AI initiated commercial pilot programs with two major North American automotive assembly plants. The Skild Brain demonstrated robust dexterous manipulation capabilities within congested environments. With fresh capital secured, Skild AI announced plans to double its software engineering staff over the next twelve months, and will allocate substantial capital to secure dedicated high-performance AI GPU training clusters. Technical teams initiated integration partnerships with industrial automation giants FANUC and KUKA AG. Dozens of autonomous robots across diverse mechanical form factors executed complex pick-and-place tasks inside Skild AI's testing center.
