SoftBank and NVIDIA Plan $1B+ Investment in Skild AI

SoftBank and NVIDIA are reportedly in advanced discussions to lead a significant investment of over $1 billion into Skild AI, a company at the forefront of developing foundational AI models for robotics. This potential funding round values Skild AI at an impressive $14 billion, nearly tripling its valuation from a previous round just months prior. This substantial investment underscores the growing investor confidence in the rapidly expanding field of AI-driven robotics and positions Skild AI as a major player in this transformative sector.

The proposed investment signals a strong belief in Skild AI’s unique approach to robotic intelligence. The company is focused on creating a robot-agnostic foundation model, termed the “Skild Brain,” which aims to enable a single AI system to operate a wide variety of robot types and perform diverse tasks without requiring hardware-specific training. This “omni-bodied” approach contrasts with traditional methods that often necessitate custom software for each specific robot and function, promising greater flexibility and scalability across industries.

The “Skild Brain”: A Universal Approach to Robotics

At the heart of Skild AI’s innovation is the “Skild Brain,” a revolutionary foundational model designed for general-purpose robotics. Unlike other models that might be overfit to specific robot designs, the Skild Brain is engineered to be omni-bodied. This means it possesses the capability to control a wide array of robots, including humanoids, quadrupeds, and robotic arms, without prior knowledge of their exact physical configurations.

This universal adaptability is achieved through a breakthrough architecture that mimics high-level decision-making and low-level motor control, akin to a human brain. The model first determines the objective (e.g., “pick up that cup”) and then handles the precise physical movements required to execute the command. This sophisticated design allows for rapid adaptation to new robot embodiments and the performance of new skills with minimal or no post-training adjustments.

Skild AI leverages NVIDIA’s advanced computing infrastructure, including NVIDIA Omniverse libraries and frameworks like NVIDIA Isaac Lab for physics simulation and NVIDIA Canvas for data augmentation. These tools are crucial for training the foundation model, enabling the creation of massive-scale simulations with thousands of robot instances across multiple embodiments and diverse environments. This synthetic data generation is a cornerstone of Skild AI’s technology, preventing the AI from memorizing specific hardware solutions and instead fostering universal, in-context learning strategies.

Strategic Investment from Tech Giants

The substantial investment interest from SoftBank and NVIDIA highlights their strategic commitment to advancing the field of robotics and artificial intelligence. SoftBank, a prolific investor in technology, has consistently backed AI-driven ventures, viewing AI as a transformative force for the future. Their previous investments in Skild AI, including a $500 million round in May 2025, demonstrate a growing conviction in the company’s vision and technological prowess.

NVIDIA, a leader in AI hardware and accelerated computing, also sees significant strategic value in Skild AI’s approach. By investing in companies developing foundational AI models, NVIDIA ensures a continued demand for its GPUs and AI platforms, which are essential for training and deploying these advanced models. Their involvement, including participation through NVentures, NVIDIA’s venture capital arm, signifies a deep integration into the AI ecosystem and a commitment to fostering innovation across the entire stack.

This collaboration between SoftBank and NVIDIA is not merely financial; it represents a powerful synergy of capital, technological expertise, and market access. Such partnerships are crucial for scaling ambitious AI projects like Skild AI’s, enabling them to accelerate research, development, and global deployment of their groundbreaking technology.

Skild AI’s Market Traction and Vision

Founded in 2023, Skild AI has rapidly achieved significant milestones, including becoming a unicorn with a valuation exceeding $1 billion in 2024. The company has reported substantial revenue growth, moving from zero to approximately $30 million in revenue within a few months in 2025, indicating strong market adoption and demand for its solutions.

Skild AI’s technology is already being deployed across a variety of sectors, including security and facility inspection, last-mile delivery, warehouses, manufacturing, data centers, and construction. This broad applicability underscores the versatility of the Skild Brain and its potential to revolutionize operations in numerous industries.

Looking ahead, Skild AI aims to expand its reach into consumer homes, with enterprise applications serving as the initial focus. This long-term vision aligns with the broader trend of integrating AI and robotics into everyday life, promising to enhance efficiency, safety, and convenience across both professional and personal environments.

The Broader AI Robotics Landscape

The significant investment in Skild AI occurs within a broader context of surging investor interest in AI and robotics startups. Companies like Figure, which raised over $1 billion at a $39 billion valuation, and Physical Intelligence, securing $600 million, highlight the intense competition and substantial capital flowing into the sector. This heightened activity reflects a global race to develop advanced robotic capabilities that can address complex real-world challenges.

The trend of substantial funding rounds for AI robotics companies is a testament to the perceived transformative potential of this technology. Investors are betting on the development of more sophisticated, adaptable, and versatile robots that can perform a wider range of tasks with greater autonomy and intelligence.

This dynamic investment landscape suggests a future where AI-powered robots are increasingly integrated into various aspects of society, driving innovation and reshaping industries. Skild AI, with its ambitious vision and strong backing, is well-positioned to be a leader in this exciting evolution.

Technological Underpinnings and Training Methodologies

Skild AI’s approach to training its foundational model is as innovative as the model itself. Recognizing that vast, pre-existing datasets of robotic actions comparable to text corpora for large language models do not exist, Skild AI employs alternative data sources. These include extensive datasets of human activities captured from videos and physics-based simulations.

The company trains the Skild Brain by utilizing large-scale human videos and simulated exercises. Through continuous optimization of control strategies, it generates feedback loops based on action execution and error data. This method allows the AI to learn through observation and embodied experience, mirroring human learning processes rather than relying on explicit programming for every nuance of movement.

This training methodology is crucial for developing an AI that can generalize across different robotic platforms and tasks. By learning from diverse human actions and simulated physical interactions, the Skild Brain develops robust in-context learning capabilities that are essential for real-world robotic application.

The “Data Flywheel” Effect in Action

A key strategy enabling Skild AI’s rapid advancement is the concept of a “data flywheel.” This self-reinforcing cycle involves the continuous collection of real-world data as robots perform tasks. The more tasks the AI-powered robots execute, the more data Skild’s model accumulates, which in turn makes the AI smarter and more capable over time.

This flywheel effect is accelerated through large-scale deployments and strategic partnerships. For instance, Skild AI’s collaboration with NVIDIA and electronics manufacturer Foxconn to deploy its AI model on assembly lines building NVIDIA’s Blackwell GPU server systems in Houston, Texas, provides a critical proving ground. Such deployments allow the AI to learn from diverse operational environments and refine its performance in real-time.

The “data flywheel” is instrumental in overcoming the challenge of limited pre-existing robotic action datasets. It ensures that Skild AI’s models are constantly evolving and improving, driven by practical, on-the-ground experience, thereby creating a significant competitive advantage.

Skild AI’s Funding Journey and Valuation Growth

Skild AI has experienced remarkable growth in its valuation and funding since its inception in 2023. The company has successfully raised substantial capital through multiple funding rounds, quickly establishing itself as a leader in the physical AI robotics space. Key milestones include an early seed round, a significant Series A round that valued the company at $1.5 billion, and a Series B round that raised $100 million and brought its valuation to $4.5 billion.

The most recent Series C funding round, reportedly totaling $1.4 billion and valuing the company at over $14 billion, represents a dramatic increase in its market valuation in a short period. This rapid ascent is indicative of the strong market demand for its innovative robotics AI and the confidence investors place in its future potential.

This consistent and escalating investor support reflects Skild AI’s demonstrated traction, ambitious technological vision, and the significant market opportunities it aims to address. The company’s ability to attract such substantial funding from prominent investors like SoftBank and NVIDIA underscores its position as a frontrunner in the next generation of AI-driven robotics.

The Strategic Importance of Foundational Models in Robotics

The investment in Skild AI highlights a broader industry trend: the increasing importance of foundational models in shaping the future of artificial intelligence, particularly in robotics. Foundational models, trained on vast datasets and capable of adaptation to a wide range of tasks, are becoming the bedrock upon which specialized AI applications are built.

In robotics, a universal foundational model like Skild Brain offers significant advantages. It reduces the need for extensive, custom programming for each new robot or task, accelerating development cycles and lowering deployment costs. This scalability is crucial for widespread adoption of robots across diverse industries and applications.

The development and widespread adoption of such foundational models will likely democratize access to advanced robotics capabilities. Companies will be able to leverage these powerful AI systems to automate complex physical tasks, driving productivity, innovation, and economic growth in ways previously unimagined.

NVIDIA’s Role in the AI Hardware Ecosystem

NVIDIA’s strategic investments and partnerships, including its involvement with Skild AI, underscore its pivotal role in the AI hardware ecosystem. The company’s powerful GPUs are the computational engines powering the development and deployment of advanced AI models, including those for robotics.

By investing across the AI spectrum, from foundational model developers like Skild AI to leading AI research labs, NVIDIA ensures that its hardware remains indispensable. This strategy allows NVIDIA to benefit from the success of various AI applications, regardless of which specific models or platforms ultimately dominate the market.

Furthermore, NVIDIA’s commitment to providing simulation and AI development tools, such as NVIDIA Omniverse and Isaac Lab, empowers companies like Skild AI to accelerate their research and development. This symbiotic relationship between hardware providers and AI developers is critical for the rapid advancement of the entire AI field.

SoftBank’s Vision for AI-Driven Transformation

SoftBank’s aggressive investment strategy in AI, exemplified by its significant backing of Skild AI and its substantial commitments to OpenAI, reflects a profound belief in the transformative power of artificial intelligence. The company’s founder, Masayoshi Son, has long articulated a vision of an AI-driven future, emphasizing the potential for artificial superintelligence to revolutionize society.

SoftBank’s investment philosophy centers on identifying and supporting companies that are at the forefront of technological innovation, particularly in areas with the potential for massive disruption and growth. Their focus on AI aligns with this strategy, as they aim to build one of the largest tech ecosystems globally by investing in entrepreneurs who are driving progress.

The firm’s willingness to make large, strategic investments in companies like Skild AI demonstrates their long-term commitment to shaping the future of AI and robotics. This approach not only provides crucial capital but also offers strategic guidance and market access to their portfolio companies, fostering accelerated growth and innovation.

The Future of Embodied AI and Physical Tasks

The substantial investment in Skild AI signals a significant leap forward for embodied AI, which refers to AI systems that can interact with and manipulate the physical world. As AI capabilities advance, the demand for robots that can perform complex physical tasks in unstructured environments is rapidly increasing.

Skild AI’s “omni-bodied” approach is particularly relevant in this context, as it aims to create robots that are not limited by their physical form or specific task programming. This flexibility is essential for deploying robots in dynamic and unpredictable environments, such as warehouses, construction sites, and eventually, homes.

The successful development and deployment of such advanced embodied AI systems have the potential to revolutionize industries, improve human safety by handling dangerous tasks, and enhance overall productivity. The significant capital infusion into Skild AI is a strong indicator of the market’s belief in this future.