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Skild AI Stock (SKIA)
Skild AI is a startup that develops software to power various robots.
About Skild AI Stock
Headquarters
Pittsburgh, PA, US
Industries
Hardware, Software, Data and Analytics
Skild AI aims to develop a scalable foundation model designed to serve as a general-purpose artificial intelligence for robotics, enabling diverse hardware configurations to perform manipulation and locomotion tasks. The company aims to create a shared intelligence system grounded in the physical world, allowing robots to adapt to various environments and scenarios without requiring task-specific programming.
Skild AI Press Mentions
Stay in the know about the latest news on Skild AI
Robotics Startup Skild AI Lands $1.4B, Tripling Valuation To $14B In Just 7 Months
news • Jan 14, 2026
Beyond automation: Physical AI ushers in a new era of smart machines
siliconangle • Dec 29, 2025
These Startups Went From Zero To Unicorn In Under 3 Years
news • Dec 19, 2025
AI aces bar exam but bombs as a butler: Why Samsung, LG keep delaying their homebots
koreajoongangdaily • Dec 17, 2025
Google and Microsoft Race to Rewrite Big Tech’s Playbook
pymnts • Dec 11, 2025
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Skild AI Key Facts
- Hyper-Scaling Valuation and Tier-1 Institutional Backing: In late 2025, Skild AI entered advanced negotiations for a $1 billion funding round led by NVIDIA and SoftBank, which is projected to propel the company’s valuation to approximately $14 billion. This follows a $500 million Series B earlier in the year and marks a nearly tenfold increase in valuation since mid-2024. This massive capitalization allows Skild to outcompete smaller rivals in data hunger, funding the trillions of synthetic and real-world data points required to maintain its lead in foundation model accuracy.
- Breakthrough "Omni-Bodied" Generalization: Skild AI has successfully commercialized the Skild Brain, the industry's first truly omni-bodied foundation model. Unlike competitors that require task-specific programming, Skild’s architecture allows for zero-shot adaptation, enabling robots to recover from mechanical failures (like jammed wheels or broken limbs) in seconds via in-context learning. Crucially, the model enables 10x reductions in TCO (Total Cost of Ownership), allowing low-cost hardware ($4,000–$15,000) to perform complex tasks previously reserved for specialized systems costing $250,000 or more.
- Strategic Global Ecosystem Expansion: Skild AI has secured pivotal partnerships that embed its technology into the global industrial supply chain. Notable recent deals include a partnership with LG CNS to deploy AI-humanoid robots across South Korean smart factories and logistics hubs, and a collaboration with HPE and STN to offer "Private AI-as-a-Service." By positioning itself as a horizontal software layer, rather than a hardware manufacturer, Skild is successfully capturing market share across diverse form factors, including humanoids, quadrupeds, and industrial arms.
- Systemic Risk from High-Valuation Market Concentration: On January 14, 2026, Skild AI confirmed a massive $1.4 billion Series C funding round led by SoftBank, valuing the company at over $14 billion, a more than threefold increase in just seven months. While this provides vast R&D resources, analysts warn that such aggressive valuations create systemic risk. If Skild fails to rapidly translate its "Skild Brain" from demos to broad-based, high-margin enterprise earnings, it faces a severe market correction or a "dot-com style" deflation of investor confidence, especially as financial markets in 2026 begin to demand concrete proof of productivity over theoretical potential.
- Fragmented Regulatory Compliance and Liability Minefields: In 2026, the "regulatory vacuum" for embodied AI has decisively ended. Skild must navigate a complex patchwork of 38 state-level AI laws passed in 2025, alongside the phased enforcement of the EU AI Act. For Skild's "omni-bodied" models, this introduces a significant "compliance tax," requiring rigorous certification of data provenance and model "explainability." Furthermore, legal experts highlight a "liability grey area" where the "Skild Brain" may be held accountable for physical damages caused by low-cost hardware it controls, such as a robot injuring a worker, creating potential for multi-billion dollar class-action litigation regarding autonomous system failures.
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