Investimentos de SoftBank e Nvidia na Skild AI: Uma Oportunidade Emergente na Robótica
Investimentos de SoftBank e Nvidia na Skild AI: Uma Oportunidade Emergente na Robótica
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SoftBank and Nvidia Looking to Make Major Investments in Skild AI: An Emerging Opportunity in Robotics
Introduction
In an era where artificial intelligence (AI) is reshaping industries, Skild AI stands out as a promising player in the robotics sector. Founded in 2023 by former Meta researchers, Skild AI is set to attract significant investments exceeding $1 billion from tech giants SoftBank and Nvidia. This partnership could skyrocket the company’s valuation from $4.7 billion to approximately $14 billion, marking a pivotal moment in its growth trajectory. As investors increasingly recognize the potential of versatile AI applications in robotics, Skild AI remains at the forefront of this technological evolution.
What is Skild AI?
Skild AI is pioneering the Skild Brain, a groundbreaking foundational model that empowers robots to execute an array of complex tasks, including:
- Object manipulation
- Navigation through cluttered environments
- Stair climbing
- Balancing on diverse hardware
Unique Selling Propositions of Skild AI
Skild AI distinguishes itself in the competitive landscape of robotics investment through several unique advantages:
- Customization-Free Integration: The Skild Brain operates across different robot types, eliminating the need for custom coding for each machine.
- Cost Efficiency: Implementation costs are substantially lower, ranging from $4,000 to $15,000 per robot, compared to traditional robotic methods exceeding $250,000.
- Scalability: The technology can seamlessly scale across multiple applications, from industrial settings to household robots.
Investment Context
Investment Motivations
The potential investment from SoftBank and Nvidia highlights several strategic motivations:
Expansion in Robotics:
- SoftBank has a strong history of investing in robotics, demonstrated by its $5.4 billion acquisition of ABB’s robotics division in October 2025.
- Nvidia seeks to enhance its position in AI-driven solutions that are heavily reliant on its advanced chip technology.
Market Validation:
- This investment points to growing confidence in adaptable AI models for general-purpose robotics, particularly following notable investments in firms such as Physical Intelligence and Figure.
Financial Structure
Here’s a detailed breakdown of Skild AI’s funding history:
| Funding Round | Amount Raised | Valuation | Notable Investors |
|---|---|---|---|
| Series A | $300 million | $1.5 billion | Jeff Bezos, SoftBank, Lightspeed |
| Series B | $500 million | Not Disclosed | Nvidia, LG Ventures, Samsung |
Strategic Partnerships
Skild AI is forging collaborations with key industry players to drive growth:
- LG CNS for the integration of smart factory technologies.
- Hewlett Packard Enterprise for innovative business integration solutions.
Expectations and Projections
The ongoing negotiations for this investment are anticipated to be finalized before Christmas 2025. Financial discussions are indicative of increasing involvement from major stakeholders in the rapidly evolving robotics sector, suggesting a bright future for Skild AI.
Sector Challenges
Despite the excitement surrounding investments and innovations, experts caution that various challenges must be addressed for broader adoption of robotics and AI in unstructured environments. Key challenges include:
- Reliability and safety concerns
- Integration with existing systems
- Training the workforce to effectively operate these new technologies
Conclusion
The potential investment by SoftBank and Nvidia in Skild AI not only underscores growing investor confidence in the robotics sector but also highlights a strategic positioning opportunity for these firms in an ever-evolving landscape. With promises of reduced costs and enhanced operational agility, Skild AI is poised to redefine the capabilities of AI-driven robotics.
As these negotiations progress, following investment trends in this dynamic field will be crucial for understanding the future trajectory of robotics technology.
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