How Skild AI is Building the Industry's First Unified Robotics Foundation Model

Skild AI, building omni-bodied intelligence, led by Deepak Pathak and Abhinav Gupta, has raised $1.4 billion in Series C funding, led by SoftBank with participation from NVentures (NVIDIA), Macquarie Capital (entities administered by Macquarie Capital), and Jeff Bezos(via Bezos Expeditions), valuing the company at over $14 Billion. Lightspeed, Felicis, Coatue, and Sequoia Capital have doubled down on their investments. Several strategic investors have also come on board, including Samsung, LG, Schneider Electric, CommonSpirit, and Salesforce Ventures. Other investors include Disruptive, 1789 Capital, IQT, TF Capital, Andra Capital, Palo Alto Growth Capital, KIC, Alpha Square, Mirae Asset, and Destiny.

Since its founding in 2023, Skild has pursued one mission: omni-bodied intelligence. Most robotics systems are built as narrow, bespoke solutions tied to specific hardware.

The Skild Brain takes a fundamentally different approach. It is the first unified robotics foundation model that generalizes across robots and tasks, controlling hardware it has never seen before, from quadrupeds and humanoids to robotic arms and mobile manipulators.

This omni-bodied model enables robots to perform everything from household tasks like cleaning or cooking to demanding physical challenges such as navigating slippery terrain. If a machine can move, the Skild Brain is built to operate it.

The Skild Data Flywheel

The Skild Brain improves continuously as it operates across robots and environments, creating a compounding data flywheel powered by four inputs:

Pretraining:

 • Trillions of synthetic interactions from large-scale simulation

 • Billions of human-action videos for manipulation and motion understanding

Post-training:

 • High-quality teleoperation demonstrations

 • Real-world deployment data across security, construction, delivery, data centers, warehouses, and manufacturing

This feedback loop has driven rapid commercial traction, with live revenue scaling to roughly $30M within months in 2025.

This new capital will accelerate the scale of every data source in the Skild flywheel. Investment will expand foundational research in model architectures, algorithms, and data-generation pipelines, while prioritizing real-world deployments that deliver sustained economic value.