Skild AI has announced a monumental milestone in its rapid growth trajectory by raising $1.4 billion in a Series C funding round led by SoftBank, with participation from NVentures (NVIDIA), Macquarie Capital, and Jeff Bezos’s Bezos Expeditions, propelling the robotics software startup’s valuation to over $14 billion more than three times its valuation just seven months earlier. Existing backers including Lightspeed Venture Partners, Felicis, Coatue, and Sequoia Capital increased their stakes, and strategic partners such as Samsung, LG, Schneider Electric, CommonSpirit, and Salesforce Ventures joined the round, signaling broad investor confidence in Skild’s mission. Founded in 2023 with the ambition to develop a unified foundation model for robotics, Skild is focused on its “omni-bodied intelligence” vision: a single general-purpose brain capable of controlling any robot for any task, from simple household chores to complex terrain navigation, without prior knowledge of the robot’s form, which co-founders and leadership describe as a breakthrough in scaling robotic intelligence. The company’s approach relies on a “Skild Brain” that learns from large-scale simulations, internet videos of human actions, teleoperation data, and real-world deployments across industries such as security, logistics, construction, warehouses, and data centers, and has driven rapid commercial traction with revenue growing from zero to about $30 million in 2025.
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“We are entering a new phase in our mission to build a single, general-purpose brain that can control any robot for any task,” the Skild AI team said in announcing the Series C, highlighting that the new capital will be used to accelerate research on model architectures, data collection infrastructure, and expanded real-world deployments that generate economic value. The funding and valuation surge reflect broader enthusiasm for AI-driven robotics and foundational models that can generalize across hardware and tasks, positioning Skild at the forefront of efforts to bring flexible, adaptive robotic systems into enterprise and, eventually, consumer environments potentially reshaping automation in both industrial and everyday settings.
