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News: Skild AI Secures $1.4B Series C to Advance Omni-Bodied Intelligence

 

 

In a landmark financing event that demonstrates investor confidence in robotics and artificial intelligence, Skild AI has raised a staggering $1.4 billion in Series C funding to accelerate the development and deployment of its omni-bodied intelligence platform.

 

The round catapults the Pittsburgh-based company’s valuation to more than $14 billion, marking one of the most significant capital infusions in the robotics software sector to date, and signaling a shift toward truly general-purpose robotic intelligence.

 

Led by SoftBank Group, the Series C investment includes participation from a constellation of blue-chip investors and strategic partners such as NVentures (NVIDIA’s venture arm), Macquarie Capital, Jeff Bezos via Bezos Expeditions, Samsung, LG, Schneider Electric, CommonSpirit, and Salesforce Ventures. Existing backers including Lightspeed Venture Partners, Felicis, Coatue, and Sequoia Capital also increased their stakes, reinforcing long-term confidence in the company’s vision.

 

Defining the Vision: Omni-Bodied Intelligence for All Robots

 

At the core of Skild AI’s mission is the pursuit of omni-bodied intelligence, a unified artificial intelligence capable of controlling any robot, regardless of its form or task. Unlike traditional approaches that require bespoke software tailored to specific hardware, Skild AI’s foundational model, known as the Skild Brain, is engineered to generalize across diverse robot types including humanoids, quadrupeds, mobile manipulators, and tabletop arms.

 

This capability enables a single intelligence to operate machines for an expansive range of tasks, from household chores such as loading dishwashers and making eggs, to complex industrial functions in logistics, manufacturing, security, and construction. The approach represents a dramatic departure from conventional robotics paradigms where each robot operates under narrowly defined conditions.

 

According to Skild AI’s leadership, the omni-bodied model not only supports a wide array of embodiments but also adapts in real time to previously unseen robotics configurations, embodying a kind of general physical intelligence that mirrors human adaptability.

 

A Unified Robotic Intelligence: How Skild’s Model Works

 

The Skild Brain is more than a control system, it’s a foundation model trained to understand and manipulate the physical world. Its learning process blends simulated environments, large-scale video data, and real-world robotic operations, establishing a continuous data flywheel that improves performance as deployment scales.

 

Four Pillars of Skild’s Data Strategy

 

Large-scale simulation allows the model to ingest trillions of synthetic experiences generated through advanced environments, equipping it with a base understanding of physics and task execution.

 

Internet video learning draws from billions of human action videos, enabling the model to infer manipulation strategies in contexts where direct robotic data is scarce.

 

Teleoperation data provides human-guided control sequences that deliver high-quality mappings between perception and physical actions.

 

Real-world deployment data flows back from robots operating in live environments, enabling the model to refine its performance across diverse and unpredictable conditions.

 

This multi-source training framework allows the Skild Brain to tackle both predictable tasks and dynamic challenges like navigating slippery terrain or adjusting to unfamiliar physical constraints, effectively minimizing the need for bespoke retraining for each robot hardware type.

 

Strategic Investments Reflect Broader Industry Trends

 

The scale and diversity of the Series C investor base reflect a convergence of interests across technology, industrial automation, healthcare, and enterprise systems.

 

Strategic participants such as Samsung, LG, Schneider Electric, and Salesforce Ventures highlight the potential for Skild AI’s technology to power next-generation robotics applications across sectors that range from consumer electronics to industrial process automation.

 

The involvement of NVentures, NVIDIA’s venture arm, is particularly notable given NVIDIA’s flagship role in high-performance computing and AI training infrastructure—critical components for advancing large-scale robotics models.

 

Commercial Traction and Deployment Momentum

 

Since its founding in 2023, Skild AI has rapidly transitioned from a deep-tech startup to a revenue-generating enterprise. Following early investment success with a $300 million Series A that valued the company at $1.5 billion, Skild AI demonstrated growing market validation when its live deployments generated approximately $30 million in revenue in just a few months of 2025.

 

These deployments span mission-critical enterprise environments including security patrols and facility inspections, warehouse automation and logistics, last-mile delivery solutions, manufacturing and assembly line tasks, and construction site automation and infrastructure support.

 

While mainstream consumer robotics remains a longer-term objective, early enterprise traction underscores the commercial viability of Skild’s unified intelligence model, particularly in sectors where labor shortages and operational complexity demand adaptable automation solutions.

 

What the New Funding Will Support

 

With the infusion of Series C capital, Skild AI plans to scale its data infrastructure and accelerate foundational research to expand the capabilities of the Skild Brain. Key areas of investment include expansion of simulation and real-world data acquisition, optimization of model architectures and learning algorithms, growth of deployment ecosystems across multiple industries, and strengthening partnerships for integrated robotics solutions.

 

The company has expressly stated its intention to focus on real-world deployment that generates economic value, signaling a shift from purely academic innovation toward scalable commercial impact.

 

Implications for Robotics and AI

 

Skild AI’s Series C milestone arrives amid a broader surge in AI and robotics investments, where software capable of generalized reasoning and control is increasingly seen as the key to unlocking the next wave of automation. Analysts note that the company’s omni-bodied intelligence approach contrasts with the traditional narrow specialization that has long defined industrial and service robotics, offering a path toward more flexible, cost-efficient robotic solutions.

 

Long-term, the ability to train a single brain that adapts to any robot could significantly reduce the cost and complexity of robotic deployment, enabling broader adoption, from manufacturing floors to consumer homes. The implications extend beyond industrial automation to fields such as healthcare support, elder care, environmental monitoring, disaster response, and beyond.

 

Looking Ahead: The Future of Omni-Bodied Robots

 

As Skild AI sets its sights on scaling omni-bodied intelligence, the company stands at the nexus of AI research, robotics engineering, and enterprise automation. The unprecedented $1.4 billion Series C round not only positions Skild AI for rapid growth but also signals a broader shift in how artificial intelligence will be embedded within the physical world, not just in digital applications but in everyday tasks performed by autonomous machines.

 

With its foundation model approach, robust investor support, and expanding commercial footprint, Skild AI is poised to play a leading role in shaping the next generation of intelligent robots capable of adapting to real-world complexities with human-like versatility.