Listen to this articleSkild AI, a Pittsburgh-based startup specializing in AI foundation models for robotics, announced a $1.4 billion Series C funding round. This investment values the company at over $14 billion, representing a more than threefold increase from its previous valuation of approximately $4.5 billion just seven months earlier. The round was led by SoftBank Group, with significant participation from a mix of new and returning investors, underscoring strong confidence in Skild AI’s vision for scalable, general purpose robotic intelligence.
The investor lineup of Skild AI’s Series C funding reflects a blend of venture capital firms, tech giants, and strategic corporates, each bringing expertise or synergies to Skild AI’s robotics ambitions. Here’s a breakdown:
| Investor Category | Key Participants | Notable Details |
| Lead Investor | SoftBank Group | Provided the majority of the funding; known for aggressive bets on AI and robotics, aligning with their history in scaling transformative tech like Arm and Boston Dynamics. |
| Tech Giants & Venture Arms | NVentures (NVIDIA), Salesforce Ventures | NVIDIA’s involvement highlights hardware-software integration potential, given Skild AI’s reliance on advanced compute for model training; Salesforce adds enterprise AI deployment angles. |
| High-Profile Individuals & Funds | Jeff Bezos (via Bezos Expeditions), Disruptive, 1789 Capital | Bezos brings personal endorsement from a robotics enthusiast (Amazon’s warehouse bots); 1789 Capital signals broader political economic support for U.S.-based AI innovation. |
| Returning Investors (Doubling Down) | Lightspeed Venture Partners, Felicis Ventures, Coatue, Sequoia Capital | These firms participated in prior rounds, indicating sustained belief in the team’s execution; their recommitment totals significant follow-on capital. |
| Strategic Corporates | Samsung, LG, Schneider Electric, CommonSpirit Health | Electronics leaders like Samsung and LG could enable hardware partnerships for robot embodiments; Schneider focuses on industrial automation, while CommonSpirit eyes healthcare applications. |
| Other Funds | Macquarie Capital, TF Capital, Andra Capital, Palo Alto Growth Capital, Korea Investment Corporation (KIC), Alpha Square, Mirae Asset, Destiny | Diverse global backers, including Asian sovereign and growth funds, expand Skild AI’s international footprint and access to manufacturing ecosystems. |
This coalition not only provides capital but also opens doors to pilot programs, data partnerships, and global distribution, particularly in enterprise sectors like manufacturing, logistics, and healthcare.
Skild AI’s funding trajectory demonstrates explosive growth since its founding in 2023 by Carnegie Mellon researchers Deepak Pathak and Abhinav Gupta. The company has now raised over $2 billion in total, with valuations escalating rapidly amid the AI robotics boom.
| Round | Date | Amount Raised | Valuation | Key Investors | Key Milestones |
| Seed | 2023 | $14 million | $14 million (post money) | Early backers including SV Angel and Carnegie Mellon University | Initial development of core AI models. |
| Series A | July 2024 | $300 million | $1.5 billion | Led by Lightspeed, Coatue, SoftBank, Bezos Expeditions; participants included Felicis, Sequoia, Menlo Ventures, General Catalyst, CRV, Amazon funds. | Emerged from stealth; focused on scaling the foundation model. |
| Series B | June 2025 | $135 million (reported; some sources cite ~$500 million) | $4.5 billion | Details sparse, but built on Series A momentum. | Expanded data collection and early enterprise pilots; revenue ramp-up began. |
| Series C | January 2026 | $1.4 billion | Over $14 billion | As detailed above. | Triples prior valuation; targets large scale deployments. |
The valuation surge, from $1.5 billion to over $14 billion in 18 months, mirrors broader market enthusiasm for AI infrastructure, comparable to OpenAI’s or Anthropic’s paths but tailored to physical world applications. This round’s size positions Skild AI among the most capitalized robotics startups ever, rivaling Figure AI or 1X Technologies in funding velocity.
Skild AI develops the “Skild Brain,” a unified foundation model designed as an “omni-bodied” intelligence system capable of controlling diverse robots (humanoids, quadrupeds, drones, arms, or wheeled manipulators) without hardware specific retraining. The model leverages vast datasets: trillions of simulated experiences, internet scale human videos (e.g., from YouTube), teleoperation demos, and real world deployments. This approach addresses robotics’ “embodiment gap,” enabling zero shot generalization to new tasks like door opening, plant watering, box assembly, or dishwasher loading, even in dynamic or unseen environments.
Unlike task specific robotics software, Skild Brain emphasizes adaptability and robustness, handling disturbances like slippery surfaces or interruptions. Early applications span warehouses, construction, security, and industrial automation, with future expansion into consumer homes. The company’s revenue grew from zero to about $30 million in mere months during 2025, fueled by multiple enterprise customers and rapid deployment growth.
The robotics AI sector is exploding, with global investments surpassing $10 billion in 2025 alone, driven by labor shortages, supply chain resilience, and AI maturation. Skild AI’s “one brain for every robot” model positions it as a platform play, akin to AWS for cloud or NVIDIA for GPUs, potentially standardizing robotic intelligence and reducing custom development costs. Competitors like Physical Intelligence or Sanctuary AI focus on similar generalist models, but Skild’s data flywheel, combining simulation, video learning, and real world feedback, gives it an edge in scaling.
Recommended: Lucidean Raises $18 Million In Seed Financing
Strategically, the funding accelerates:
- Model Enhancement: Deeper research into foundation models, improving in-context learning and multi robot coordination.
- Deployment Expansion: Prioritizing enterprise tasks before consumer markets, with pilots in high value areas like healthcare (via CommonSpirit) and manufacturing (via Samsung/LG).
- Ecosystem Building: Partnerships for hardware integration, potentially turning Skild Brain into an industry standard.
- Talent and Compute: Hiring top researchers and securing NVIDIA-powered infrastructure for training at unprecedented scales.
This round validates the thesis that physical AI is the next trillion dollar frontier, with Skild AI at the forefront of democratizing robotic capabilities.
Despite the hype, challenges loom. Training on massive datasets raises data privacy and ethical concerns, especially with video sourced learning. Hardware variability could limit real world reliability, requiring ongoing iteration. Competition from integrated players like Tesla (Optimus) or Boston Dynamics might erode market share if they lock in proprietary ecosystems. Economic downturns or regulatory scrutiny on AI safety could slow adoption. Finally, achieving profitable scale in robotics, historically capital intensive, will test execution, as revenue growth must outpace burn rates in a high interest environment.
Please email us your feedback and news tips at hello(at)techcompanynews.com
