Skild AI Secures $300M in Series A Funding to Advance General-Purpose Robotics

Skild AI is at the forefront of revolutionizing the robotics industry by creating versatile and adaptive AI-driven robots.

Skild AI Secures $300M in Series A Funding to Advance General-Purpose Robotics

Company Name: Skild AI
Location: Pittsburgh, PA, USA
Sector: Robotics, Artificial Intelligence
Funding Details: Raised $300M in Series A funding, valuing the company at $1.5 billion. The round was led by Lightspeed Venture Partners, Coatue, SoftBank Group, and Jeff Bezos through Bezos Expeditions, with participation from Felicis Ventures, Sequoia, Menlo Ventures, General Catalyst, CRV, Amazon, SV Angel, and Carnegie Mellon University.

Purpose of Investment: To scale its model and training datasets for future commercial deployment and to expand its team across various functions including AI, robotics, engineering, operations, and security.

Leadership: Led by CEO Deepak Pathak and President Abhinav Gupta.

Product: Skild AI is developing a scalable foundation model for robotics that acts as a universal, general-purpose brain adaptable across diverse robotic forms and real-world applications. This approach contrasts with traditional robotics that focus on specific tasks or environments. Skild AI’s technology aims to enable the deployment of low-cost robots capable of performing complex tasks such as manipulation, locomotion, and navigation in various settings—from harsh environments to sophisticated industrial and domestic applications.

About Company: Skild AI is at the forefront of revolutionizing the robotics industry by creating versatile and adaptive AI-driven robots. By building a shared, general-purpose brain for robotics, the company aims to democratize the use of advanced robots, making them accessible for a wide range of industries and tasks. This massive infusion of capital underscores the potential of Skild AI's technology to transform how robots are integrated into everyday life and work, promising significant advancements in robotics application and functionality.