Skild AI Valuation Soars to $14B in Stunning Funding Round Led by SoftBank and Nvidia

In a landmark deal that underscores the explosive growth of artificial intelligence in physical systems, robotics software pioneer Skild AI has secured a $1.4 billion Series C funding round, catapulting its valuation to over $14 billion. This monumental raise, led by investment giants SoftBank and Nvidia and reported by Bloomberg on January 14, 2026, represents a more than tripling of the company’s worth in just seven months, signaling a profound confidence in the future of adaptable, general-purpose robotics.

Skild AI Valuation Marks a New Era for Robotics Software

The funding round represents one of the largest single infusions of capital into a robotics AI startup to date. Significantly, SoftBank’s Vision Fund and chipmaker Nvidia, a leader in AI hardware, co-led the investment. Other participants included Macquarie Group and 1789 Capital. According to Skild AI CEO Deepak Pathak in statements to Bloomberg, this latest round brings the company’s total capital raised to over $2 billion. The startup’s previous funding event in the summer of 2025 valued it at $4.5 billion, with an estimated raise of $500 million, making the leap to a $14 billion valuation exceptionally rapid.

This surge reflects a fundamental shift in the robotics industry. Traditionally, robots required extensive, task-specific programming. Skild AI, founded in 2023, is at the forefront of a new paradigm: developing foundation models for robotics. These are large-scale AI models that serve as a versatile base intelligence. Consequently, they can be adapted to various robots and numerous tasks without exhaustive retraining for each new function.

The Core Technology Behind the Funding Frenzy

Skild AI’s primary innovation lies in creating general-purpose robotic software. The company’s foundation models aim to understand physical concepts and learn from observation, much like large language models (LLMs) understand text. The goal is to enable robots to learn from watching humans perform tasks and then generalize that knowledge to new, unseen situations. This “learn-as-you-go” capability directly addresses the most significant barrier to widespread robot adoption: the high cost and time associated with training.

The key technological pillars of Skild AI’s approach include:

• General-Purpose Foundation Models: A single AI model that understands manipulation, navigation, and reasoning across different hardware platforms.
• Reduced Training Burden: Systems designed to be retrofitted to existing robots, minimizing the need for massive, proprietary datasets for every new application.
• Human Demonstration Learning: An emphasis on learning from human videos and demonstrations, accelerating the skill acquisition process.

Expert Analysis: Why This Valuation Makes Strategic Sense

Industry analysts point to several converging trends that justify the investor enthusiasm. Firstly, the simultaneous rise of advanced AI and renewed interest in humanoid robots has created a perfect market storm. Companies like Tesla, Figure, and 1X are developing humanoid platforms, but they all require sophisticated “brains.” Skild AI’s software aims to be that universal brain. Secondly, Nvidia’s participation is a strong endorsement of the computational demand and potential scale of this technology. Finally, the push for automation in logistics, manufacturing, and even domestic settings creates a vast total addressable market for adaptable robotics software.

The Competitive Landscape for Robotic Intelligence

Skild AI is not operating in a vacuum. The race to build the foundational AI layer for robots is intensely competitive. For instance, 1X Technologies, the Norwegian maker of the Neo humanoid, recently released its own “world model” designed to help robots interpret and learn from their visual surroundings. Similarly, startups like Field AI are pursuing the vision of easily-adapted robotic software. The high valuation for Skild AI suggests investors are betting on its technical approach and execution speed to capture a leading market position.

The following table contrasts key players in the robotic foundation model space:

Broader Impacts on Industry and Society

The successful funding of Skild AI will have immediate and long-term ripple effects. In the short term, the capital infusion will allow for aggressive hiring, accelerated research and development, and potential strategic acquisitions. Furthermore, it validates the entire category of AI-powered robotics software, likely attracting more venture investment into the sector. For industries like automotive manufacturing, electronics assembly, and warehouse logistics, the prospect of more flexible and easily trainable robots could significantly alter automation roadmaps and economic calculations.

However, this rapid advancement also brings important considerations. The societal impact of more capable and widespread robotics necessitates ongoing dialogue about workforce transition, safety standards for AI-controlled physical systems, and the ethical development of such powerful technologies. The involvement of major institutional investors like SoftBank indicates that this is no longer a niche research field but a mainstream industrial priority.

Conclusion

The staggering $14 billion valuation of Skild AI is far more than a financial headline; it is a definitive marker of the next frontier in artificial intelligence. The fusion of large-scale foundation models with robotics represents a critical step toward machines that can adapt, learn, and operate in the unpredictable real world. With backing from SoftBank and Nvidia, Skild AI is now positioned with immense resources to pursue its vision of general-purpose robotic intelligence. As this technology matures, its influence will extend from factory floors to global supply chains, fundamentally reshaping how work is performed and accelerating the integration of intelligent machines into everyday life. The Skild AI valuation milestone proves that the future of robotics will be built not just on hardware, but on adaptable, powerful software.

FAQs

Q1: What does Skild AI actually do?
Skild AI develops foundation models for robotics—essentially, versatile AI “brains” that can be installed on different types of robots. These models allow robots to learn new tasks with less specific training, often by observing human demonstrations.

Q2: How much has Skild AI raised in total?
According to CEO Deepak Pathak, Skild AI has now raised over $2 billion in total funding. This includes a $1.4 billion Series C round in January 2026 and a prior round in the summer of 2025 that was rumored to be around $500 million.

Q3: Who are Skild AI’s main competitors?
Key competitors include 1X Technologies (focusing on humanoids and world models), Field AI (mobile robot software), and other startups and research labs working on embodied AI and general-purpose robotic learning algorithms.

Q4: Why is Nvidia investing in a robotics software company?
Nvidia’s GPUs are essential for training and running large AI models. Investing in Skild AI aligns with Nvidia’s strategy to dominate the AI ecosystem, ensuring its hardware is central to the next generation of robotics, which will be computationally intensive.

Q5: What is the significance of a “foundation model” for robots?
A foundation model in robotics aims to create a base level of physical common sense and skill, similar to how LLMs like GPT understand language. This allows for faster adaptation to new tasks and environments, reducing the need to build a new AI system from scratch for every single robot application.