Skild AI Secures $60 Million to Forge a Universal Mind for Machines

PITTSBURGH — In a significant move for the robotics sector, Skild AI has raised $60 million in new funding. The round, led by Coatue Management with participation from Lightspeed Venture Partners, SoftBank, and Jeff Bezos, values the startup at about $1.5 billion. This brings the company’s total funding to approximately $360 million, positioning it as one of the most capitalized private AI robotics firms globally.

Founded in 2023 by Carnegie Mellon University professors Deepak Pathak and Abhinav Gupta, Skild is developing what it terms a "foundation model" for robotics. The goal is a single, general-purpose artificial intelligence capable of operating many types of robots—from humanoids to industrial arms—without extensive customization for each machine. This contrasts with the traditional approach of painstakingly programming individual robots for narrow tasks.

The company’s core challenge and opportunity is data. While AI models for language and images train on vast, readily available online datasets, information about physical interaction—every grasp, step, or push a robot makes—is scarce and costly to gather. Skild’s strategy involves compiling one of the world’s largest proprietary datasets of robot behaviors, sourced from diverse hardware platforms and simulation environments. The new capital will expand its engineering team, scale computing infrastructure, and accelerate partnerships with hardware makers.

Skild operates in a crowded and well-funded arena. Competitors include Google DeepMind, Tesla’s Optimus project, and startups like Figure AI and Physical Intelligence, all pursuing similar visions of general-purpose robot intelligence. The surge in investment reflects a broader belief that the next major advance in AI will involve physical interaction with the world.

The company’s path to revenue remains undefined, with potential models including licensing its AI to manufacturers or offering robotics intelligence as a service. For now, investor confidence is high, betting that a horizontal AI platform could capture significant value as the robotics industry evolves from specialized tools toward more adaptable machines.

Source: Webpronews